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2009
  1. M. Köksalan, V. Mousseau, O. Ozpeynirci, and S. Bilgin Ozpeynirci. An outranking-based approach for assigning alternatives to ordered classes. Naval Research Logistics, 56(1):74-85, February 2009. [WWW ] [ ]
    Abstract: We consider the problem of assigning alternatives evaluated on several criteria into ordered categories C1, C2,..., Cp. This problem is known as the multi-criteria sorting problem and arises in many situations such as classifying countries into different risk levels based on economical and socio-political criteria, evaluating credit applications of bank customers. We are interested in sorting methods that are grounded on the construction of outranking relations. Among these, the Electre Tri method requires defining multidimensional profiles that represent the frontier separating consecutive categories Ch and Ch+1, and assigns an alternative to categories according to how it compares to each of the profiles. The explicit specification of the profiles of consecutive categories can be difficult for decision makers. We develop a new outranking based sorting method that does not require the explicit definition of profiles. We instead require the decision maker to assign a subset of reference alternatives to the categories. To assign the remaining alternatives, each such alternative is compared to reference alternatives, and assigned to categories accordingly
    [bibtex-key = BKMO2008] [bibtex-entry]


  2. Fernando Pereira, Jose Figueira, Vincent Mousseau, and Bernard Roy. Comparing two Territory Partitions in Districting Problems: Indices and Practical Issues. Socio-Economic Planning Sciences, 43(1):72-88, 2009. [WWW ] [ ]
    Abstract: Planning as part of public sector decision-making situations is an activity of critical importance, with direct relevance for urban planners. The ramifications of such decisions generally have significant effect on peoples' lives. The current paper deals with the comparison between territorial maps in the context of districting problems with a strong socio-economic component. The theoretical problem involves the comparison of two partitions in a connected, undirected, and planar graph. In considering this problem, we introduce three new indices to compare territory partitions: compatibility, inclusion, and distance, all of which have importance for real-world planning situations. Numerical experiments of these indices were carried out for the communes network in Ile de France
    [bibtex-key = Pereiraetal09] [bibtex-entry]


2008
  1. J. Figueira, S. Greco, V. Mousseau, and R. Slowinski. Interactive Multiobjective Optimization using a Set of Additive Value Functions. In J. Branke, K. Deb, K. Miettinen, and R. Slowinski, editors,Multiobjective Optimization: Interactive and Evolutionary Approaches, pages 99--122. 2008.
    Note: LNCS vol. 5252. [WWW ] [ ]
    Abstract: In this chapter we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built by an ordinal regression method. The procedure is composed of two alternating stages. In the first stage, a representative sample of solutions from the Pareto optimal set (or from its approximation) is generated. In the second stage, the Decision Maker (DM) is asked to make pairwise comparisons of some solutions from the generated sample. Besides pairwise comparisons, the DM may compare selected pairs from the viewpoint of the intensity of preference, both comprehensively and with respect to a single criterion. This preference information is used to build a preference model composed of all general additive value functions compatible with the obtained information. The set of compatible value functions is then applied on the whole Pareto optimal set, which results in possible and necessary rankings of Pareto optimal solutions. These rankings are used to select a new sample of solutions, which is presented to the DM, and the procedure cycles until a satisfactory solution is selected from the sample or the DM comes to conclusion that there is no satisfactory solution for the current problem setting. Construction of the set of compatible value functions is done using ordinal regression methods called UTA-GMS and GRIP. These two methods generalize UTA-like methods and they are competitive to AHP and MACBETH methods. The interactive procedure will be illustrated through an example
    [bibtex-key = FigueiraGrecoMousseauSlowinski2008] [bibtex-entry]


  2. Maria Joao Alves, Joao Climaco, Carlos Henggeler antunes, Humberto Jorge, and Antonio G. Martins. Stability analysis of efficient solutions in multiobjective integer programming: A case study in load management. Computers & Operations Research, 35(1):186 - 197, January 2008. [WWW ] [bibtex-key = Alves:2008] [bibtex-entry]


  3. Carlos A. Bana e costa, Carlos S. Oliveira, and Victor Vieira. Prioritization of bridges and tunnels in earthquake risk mitigation using multicriteria decision analysis: Application to Lisbon. Omega, 36(3):442 - 450, June 2008. [WWW ] [bibtex-key = Banaecosta:2008] [bibtex-entry]


  4. Nerija Banaitiene, Audrius Banaitis, Arturas Kaklauskas, and Edmundas Kazimieras Zavadskas. Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36(3):429 - 441, June 2008. [WWW ] [bibtex-key = Banaitiene:2008] [bibtex-entry]


  5. Ana Barcus and Gilberto Montibeller. Supporting the allocation of software development work in distributed teams with multi-criteria decision analysis. Omega, 36(3):464 - 475, June 2008. [WWW ] [bibtex-key = Barcus:2008] [bibtex-entry]


  6. L. Berrah, G. Mauris, and J. Montmain. Monitoring the improvement of an overall industrial performance based on a Choquet integral aggregation. Omega, 36(3):340 - 351, June 2008. [WWW ] [bibtex-key = Berrah:2008] [bibtex-entry]


  7. Malcolm J. Beynon and Peter Wells. The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A PROMETHEE uncertainty analysis. Omega, 36(3):384 - 394, June 2008. [WWW ] [bibtex-key = Beynon:2008] [bibtex-entry]


  8. Dominique Bollinger and Jacques Pictet. Multiple criteria decision analysis of treatment and land-filling technologies for waste incineration residues. Omega, 36(3):418 - 428, June 2008. [WWW ] [bibtex-key = Bollinger:2008] [bibtex-entry]


  9. S. Chakhar and V. Mousseau. GIS-based multicriteria spatial modeling generic framework. International Journal of Geographical Information Science, 22(11-12):1159-1196, 2008. [WWW ] [ ]
    Abstract: Multicriteria analysis is a set of mathematical tools and methods allowing the comparison of di®erent alternatives according to many criteria, often con°icting, in order to guide the decision maker towards a judicious choice. Multicriteria methods are used in spatial context to evaluate and compare spatial decision alternatives, often modeled through constraint-based suitability analysis and represented by point, line, and polygon features or their combination, and evaluated on several space-related criteria, in order to select a restricted subset for implementation. Outranking methods, a family of multicriteria methods, may be useful in spatial decision problems, especially when ordinal evaluation criteria are implied. However, it is recognized that these methods, except those devoted to multicriteria classi¯cation problems, are subject to computational limitations with respect to the number of alternatives. This paper proposes a framework to facilitate the incorporation and use of outranking methods in geographical information systems (GIS). The framework is composed of two phases. The ¯rst phase allows producing a planar subdivision of the study area obtained by combining a set of criteria maps; each represents a particular vision of the decision problem. The result is a set of non-overlapping spatial units. The second phase allows constructing decision alternatives by combining the spatial units. Point, line and polygon feature-based decision alternatives are then constructed as an individual, a grouping of linearly adjacent or a grouping of contiguous spatial units. This permits to reduce considerably the number of alternatives, enabling the use of outranking methods. The framework is illustrated through the development of a prototype and through a step- by-step application to a corridor identi¯cation problem. The paper includes also a discussion of some conceptual and technical issues related to the framework
    [bibtex-key = ChakharMousseau2008] [bibtex-entry]


  10. Ye Chen, M.D. Kilgour, and Keith W. Hipel. A case-based distance method for screening in multiple-criteria decision aid. Omega, 36(3):373 - 383, June 2008. [WWW ] [bibtex-key = Chen:2008a] [bibtex-entry]


  11. Yuh-Wen Chen, Chi-Hwang Wang, and Sain-Ju Lin. A multi-objective geographic information system for route selection of nuclear waste transport. Omega, 36(3):363 - 372, June 2008. [WWW ] [bibtex-key = Chen:2008] [bibtex-entry]


  12. Ezgi Aktar Demirtas and Ozden Ustun. An integrated multiobjective decision making process for supplier selection and order allocation. Omega, 36(1):76 - 90, March 2008. [WWW ] [bibtex-key = Demirtas:2008] [bibtex-entry]


  13. Carlos F. Simoes Gomes, Katia R.A. Nunes, Lucia Helena xavier, Rosangela Cardoso, and Rogerio Valle. Multicriteria decision making applied to waste recycling in Brazil. Omega, 36(3):395 - 404, June 2008. [WWW ] [bibtex-key = Gomes:2008] [bibtex-entry]


  14. S. Greco, V. Mousseau, and R. Slowinski. Ordinal regression revisited: multiple criteria ranking using a set of additive value functions. European Journal of Operational Research, 191(2):415-435, December 2008. [WWW ] [ ]
    Abstract: We present a new method, called UTA-GMS, for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. The preference information provided by the decision maker is a set of pairwise comparisons on a subset of alternatives A^R \subseteq A, called reference alternatives. The preference model built via ordinal regression is the set of all additive value functions compatible with the preference information. Using this model, one can define two relations in the set A: the necessary weak preference relation which holds for any two alternatives a,b from set A if and only if for all compatible value functions a is preferred to b, and the possible weak preference relation which holds for this pair if and only if for at least one compatible value function a is preferred to b. These relations establish a necessary and a possible ranking of alternatives from A, being, respectively, a partial preorder and a strongly complete relation. The UTA-GMS method is intended to be used interactively, with an increasing subset A^R and a progressive statement of pairwise comparisons. When no preference information is provided, the necessary weak preference relation is a weak dominance relation, and the possible weak preference relation is a complete relation. Every new pairwise comparison of reference alternatives, for which the dominance relation does not hold, is enriching the necessary relation and it is impoverishing the possible relation, so that they converge with the growth of the preference information. Distinguishing necessary and possible consequences of preference information on the complete set of actions, UTA-GMS answers questions of robustness analysis. Moreover, the method can support the decision maker when his/her preference statements cannot be represented in terms of an additive value function. The method is illustrated by an example solved using the UTA-GMS software. Some extensions of the method are also presented
    [bibtex-key = UTAGMS-Ejor] [bibtex-entry]


  15. Andrew J. Higgins, Stefan Hajkowicz, and Elisabeth Bui. A multi-objective model for environmental investment decision making. Computers & Operations Research, 35(1):253 - 266, January 2008. [WWW ] [bibtex-key = Higgins:2008] [bibtex-entry]


  16. Wlodzimierz Ogryczak, Adam Wierzbicki, and Marcin Milewski. A multi-criteria approach to fair and efficient bandwidth allocation. Omega, 36(3):451 - 463, June 2008. [WWW ] [bibtex-key = Ogryczak:2008] [bibtex-entry]


  17. Rupesh Kumar Pati, Prem Vrat, and Pradeep Kumar. A goal programming model for paper recycling system. Omega, 36(3):405 - 417, June 2008. [WWW ] [bibtex-key = Pati:2008] [bibtex-entry]


  18. Sarah Steiner and Tomasz Radzik. Computing all efficient solutions of the biobjective minimum spanning tree problem. Computers & Operations Research, 35(1):198 - 211, January 2008. [WWW ] [bibtex-key = Steiner:2008] [bibtex-entry]


  19. Tommi Tervonen, Henri Hakonen, and Risto Lahdelma. Elevator planning with stochastic multicriteria acceptability analysis. Omega, 36(3):352 - 362, June 2008. [WWW ] [bibtex-key = Tervonen:2008] [bibtex-entry]


  20. Xiaoting Wang and Evangelos Triantaphyllou. Ranking irregularities when evaluating alternatives by using some ELECTRE methods. Omega, 36(1):45 - 63, March 2008. [WWW ] [bibtex-key = Wang:2008] [bibtex-entry]


  21. Margaret M. Wiecek, Matthias ehrgott, Georges Fadel, and Jose Rui figueira. Multiple criteria decision making for engineering. Omega VOLUME = 36, (3):337 - 339, June 2008. [WWW ] [bibtex-key = Wiecek:2008] [bibtex-entry]


2007
  1. J. Mustajoki. Interactive Multi-Criteria Decision Support - New Tools and Processes for Practical Applications. PhD thesis, Helsinki University of Technology, 2007. [WWW ] [bibtex-key = Mustajoki07] [bibtex-entry]


  2. S. Bleuler, J. Bader, and E. Zitzler. Reducing Bloat in GP with Multiple Objectives. In J. Knowles, D. Corne, and K. Deb, editors,Multi-Objective Problem Solving from Nature: From Concepts to Applications. Springer, 2007. [bibtex-key = bbz2007a] [bibtex-entry]


  3. Salem Chakhar and Vincent Mousseau. Multicriteria Spatial Decision Support Systems. In Shashi Shekhar and Hui Xiong, editors,Encyclopedia of Geographical Information Science. Springer, 2007. [WWW ] [ ] [bibtex-key = ChakharMousseau07inbooka] [bibtex-entry]


  4. Salem Chakhar and Vincent Mousseau. Spatial Multicriteria Decision Making. In Shashi Shekhar and Hui Xiong, editors,Encyclopedia of Geographical Information Science. Springer, 2007. [WWW ] [ ] [bibtex-key = ChakharMousseau07inbookb] [bibtex-entry]


  5. Martin Josef Geiger and Wolf Wenger. On the interactive resolution of multi-objective vehicle routing problems. In Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, and Tadahiko Murata, editors,Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, volume 4403 of Lecture Notes in Computer Science, pages 687--699. Springer Verlag, Berlin, Heidelberg, New York, 2007.
    Note: ISBN 3-540-70927-4. [bibtex-key = geiger:2007:movrp1] [bibtex-entry]


  6. S. Greco, V. Mousseau, and R. Slowinski. Robust multiple criteria ranking using a set of additive value functions. In B. Roy, M. Aloulou, and R. Kalai, editors,Robustness in OR-DA, pages 95-128. Lamsade, 2007.
    Note: Annales du Lamsade no 7. [WWW ] [ ]
    Abstract: We present a new method, called UTA-GMS, for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. The preference information provided by the decision maker is a set of pairwise comparisons on a subset of alternatives A^R \subseteq A, called reference alternatives. The preference model built via ordinal regression is a set of all additive value functions compatible with the preference information. Using this model, one can define two relations in the set A: the necessary weak preference relation which holds for any two alternatives a, b from set A if and only if for all compatible value functions a is preferred to b, and the possible weak preference relation which holds for this pair if and only if for at least one compatible value function a is preferred to b. These relations establish a necessary and a possible ranking of alternatives from A, being, respectively, a partial preorder and a strongly complete and negatively transitive relation. The UTA-GMS method is intended to be used interactively, with an increasing subset A^R and a progressive statement of pairwise comparisons. When no preference information is provided, the necessary weak preference relation is a weak dominance relation, and the possible weak preference relation is a complete relation. Every new pairwise comparison of reference alternatives, for which the dominance relation does not hold, is enriching the necessary relation and it is impoverishing the possible relation, so that they converge with the growth of the preference information. Distinguishing necessary and possible consequences of preference information on the all set of actions, UTA-GMS answers questions of robustness analysis. Moreover, the method can support the decision maker also when his/her preference statements cannot be represented in terms of an additive value function. The method is illustrated by an example solved using the UTA-GMS software. Some extensions of the method are also presented.
    [bibtex-key = GrecoEtAl07] [bibtex-entry]


  7. Ali E. Abbas. Moments of utility functions and their applications. European Journal of Operational Research, 180(1):378 - 395, June 2007. [WWW ] [bibtex-key = Abbas:2007] [bibtex-entry]


  8. Hernan E. Aguirre and Kiyoshi Tanaka. Working principles, behavior, and performance of MOEAs on MNK-landscapes. European Journal of Operational Research, 181(3):1670 - 1690, September 2007. [WWW ] [bibtex-key = Aguirre:2007] [bibtex-entry]


  9. Amir Albadvi, S. Kamal Chaharsooghi, and Akbar Esfahanipour. Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177(2):673-683, March 2007. [WWW ] [bibtex-entry]


  10. Anna Alberini, Stefania Tonin, Margherita Turvani, and Aline Chiabai. Paying for permanence: Public preferences for contaminated site cleanup. Journal of Risk and Uncertainty, 34(2):155 - 178, April 2007. [WWW ] [bibtex-key = Alberini:2007] [bibtex-entry]


  11. Alfredo Altuzarra, Jose Maria Moreno-Jimenez, and Manuel Salvador. A Bayesian priorization procedure for AHP-group decision making. European Journal of Operational Research, 182(1):367 - 382, October 2007. [WWW ] [bibtex-key = Altuzarra:2007] [bibtex-entry]


  12. Maria Joao Alves and Marla Almeida. MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem. Computers & Operations Research, 34(11):3458 - 3470, November 2007. [WWW ] [bibtex-key = Alves:2007] [bibtex-entry]


  13. Maria Joao Alves and Joao Climaco. A review of interactive methods for multiobjective integer and mixed-integer programming. European Journal of Operational Research, 180(1):99 - 115, June 2007. [WWW ] [bibtex-key = Alves:2007] [bibtex-entry]


  14. Maria Joao Alves and Joao Climaco. A review of interactive methods for multiobjective integer and mixed-integer programming. European Journal of Operational Research, 180(1):99 - 115, June 2007. [WWW ] [bibtex-key = Alves:2007] [bibtex-entry]


  15. Gholam R. Amin. Note on A preemptive goal programming method for aggregating OWA operator weights in group decision making. Information Sciences, 177(17):3636 - 3638, september 2007. [WWW ] [bibtex-key = Amin:2007] [bibtex-entry]


  16. Sarah Ben Amor, Khaled Jabeur, and Jean-Marc Martel. Multiple criteria aggregation procedure for mixed evaluations. European Journal of Operational Research, 181(3):1506 - 1515, September 2007. [WWW ] [bibtex-key = Amor:2007] [bibtex-entry]


  17. Carlos Henggeler Antunes and Luis C. Dias. Managing uncertainty in decision support models. European Journal of Operational Research, 181(3):1425 - 1426, September 2007. [WWW ] [bibtex-key = Antunes:2007] [bibtex-entry]


  18. Carlos Henggeler Antunes and Luis Candido Dias. Managing uncertainty in decision support models foreword to the special issue. Decision Support Systems, 43(4):1451 - 1453, August 2007. [WWW ] [bibtex-key = Antunes:2007] [bibtex-entry]


  19. Ceyhun Araz, Pinar Mizrak ozfirat, and Irem Ozkarahan. An integrated multicriteria decision-making methodology for outsourcing management. Computers & Operations Research, 34(12):3738 - 3756, December 2007. [WWW ] [bibtex-key = Araz:2007] [bibtex-entry]


  20. C. Araz, H. Selim, and I. Ozkarahan. A fuzzy multi-objective covering-based vehicle location model for emergency services. Computers and Operations Research, 34(3):705-726, March 2007. [WWW ] [bibtex-entry]


  21. Ami Arbel and Luis Vargas. Interval judgments and Euclidean centers. Mathematical and Computer Modelling, 46(7-8):976 - 984, October 2007. [WWW ] [bibtex-key = Arbel:2007] [bibtex-entry]


  22. Arben Asllani and Alireza Lari. Using genetic algorithm for dynamic and multiple criteria web-site optimizations. European Journal of Operational Research, 176(3):1767-1777, February 2007. [WWW ] [bibtex-entry]


  23. Emmanuelle Auriol and Robert Gary-Bobo. On Robust Constitution Design. 62(3):241 - 279, November 2007. [WWW ] [bibtex-key = Auriol:2007] [bibtex-entry]


  24. Henri Avancini, Leonardo Candela, and Umberto Straccia. Recommenders in a personalized, collaborative digital library environment. Journal of Intelligent Information Systems, 28(3):253 - 283, June 2007. [WWW ] [bibtex-key = Avancini:2007] [bibtex-entry]


  25. Amir Azaron, Hideki Katagiri, Kosuke Kato, and Masatoshi Sakawa. A multi-objective discrete reliability optimization problem for dissimilar-unit standby systems. OR Spectrum, 29(2):235-257, April 2007. [WWW ] [bibtex-key = AzaronKatagiriKatoSakawa2007] [bibtex-entry]


  26. E. Ballestero, M. Gunther, D. Pla-Santamaria, and C. Stummer. Portfolio selection under strict uncertainty: A multi-criteria methodology and its application to the Frankfurt and Vienna Stock Exchanges. European Journal of Operational Research, 181(3):1476 - 1487, September 2007. [WWW ] [bibtex-key = Ballestero:2007] [bibtex-entry]


  27. Manel Baucells and Rakesh Sarin. Evaluating Time Streams of Income: Discounting What?. 63(2):95 - 120, September 2007. [WWW ] [bibtex-key = Baucells:2007] [bibtex-entry]


  28. J. Neil Bearden and Terry Connolly. Multi-attribute sequential search. Organizational Behavior and Human Decision Processes, 103(1):147 - 158, June 2007. [WWW ] [bibtex-key = Bearden:2007] [bibtex-entry]


  29. Nabil Belacel, Hiral Bhasker Raval, and Abraham P. Punnen. Learning multicriteria fuzzy classification method PROAFTN from data. Computers and Operations Research, 34(7):1885-1898, July 2007. [WWW ] [bibtex-entry]


  30. Lamia Belfares, Walid Klibi, Nassirou Lo, and Adel Guitouni. Multi-objectives Tabu Search based algorithm for progressive resource allocation. European Journal of Operational Research, 177(3):1779-1799, March 2007. [WWW ] [bibtex-entry]


  31. Fouad Ben Abdelaziz. Multiple objective programming and goal programming: New trends and applications. European Journal of Operational Research, 177(3):1520-1522, March 2007. [WWW ] [bibtex-entry]


  32. Fouad Ben Abdelaziz, Belaid Aouni, and Rimeh El Fayedh. Multi-objective stochastic programming for portfolio selection. European Journal of Operational Research, 177(3):1811-1823, March 2007. [WWW ] [bibtex-entry]


  33. Edward Bernroider and Volker Stix. A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making. Computers and Operations Research, 34(9):2637 - 2647, September 2007. [WWW ] [bibtex-key = Bernroider:2007] [bibtex-entry]


  34. Edward Bernroider and Volker Stix. A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making. Computers & Operations Research, 34(9):2637 - 2647, September 2007. [WWW ] [bibtex-key = Bernroider:2007] [bibtex-entry]


  35. Nicola Beume, Boris Naujoks, and Michael Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 181(3):1653 - 1669, September 2007. [WWW ] [bibtex-key = Beume:2007] [bibtex-entry]


  36. William Bies and Lefteris Zacharia. Medical tourism: Outsourcing surgery. Mathematical and Computer Modelling, 46(7-8):1144 - 1159, October 2007. [WWW ] [bibtex-key = Bies:2007] [bibtex-entry]


  37. Michael H. Birnbaum and Roman J. Gutierrez. Testing for intransitivity of preferences predicted by a lexicographic semi-order. Organizational Behavior and Human Decision Processes, 104(1):96 - 112, September 2007. [WWW ] [bibtex-key = Birnbaum:2007] [bibtex-entry]


  38. Jerzy Blaszczynski, Salvatore Greco, and Roman Slowinski. Multi-criteria classification - A new scheme for application of dominance-based decision rules. European Journal of Operational Research, 181(3):1030 - 1044, September 2007. [WWW ] [bibtex-key = Blaszczynski:2007] [bibtex-entry]


  39. Pavlo Blavatskyy. Stochastic expected utility theory. Journal of Risk and Uncertainty, 34(3):259 - 286, JUNE 2007. [WWW ] [bibtex-key = Blavatskyy:2007] [bibtex-entry]


  40. Pavlo Blavatskyy. Stochastic expected utility theory. 34(3):259 - 286, July 2007. [WWW ] [bibtex-key = Blavatskyy:2007] [bibtex-entry]


  41. Han Bleichrodt. Reference-dependent utility with shifting reference points and incomplete preferences. Journal of Mathematical Psychology, 51(4):266 - 276, August 2007. [WWW ] [bibtex-key = Bleichrodt:2007] [bibtex-entry]


  42. Gianni Bosi, Juan Carlos Candeal, and Esteban Indurain. Continuous representability of interval orders and biorders. Journal of Mathematical Psychology, 51(2):122 - 125, May 2007. [WWW ] [bibtex-key = Bosi:2007] [bibtex-entry]


  43. R. Bouaziz, Salem Chakhar, Vincent Mousseau, S. Ram, and A. Temouldi. Database design and querying within the fuzzy semantic model. Information Sciences, 177(21):4598-4620, November 2007. [WWW ] [ ]
    Abstract: Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to de¯ne the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases
    [bibtex-key = ChakharMousseauToAppear-b] [bibtex-entry]


  44. Denis Bouyssou and Thierry Marchant. An axiomatic approach to noncompensatory sorting methods in MCDM, I: The case of two categories. European Journal of Operational Research, 178(1):217-245, April 2007. [WWW ] [bibtex-entry]


  45. Denis Bouyssou and Thierry Marchant. An axiomatic approach to noncompensatory sorting methods in MCDM, II: More than two categories. European Journal of Operational Research, 178(1):246-276, April 2007. [WWW ] [bibtex-entry]


  46. D. Bouyssou and M. Pirlot. Further results on concordance relations. European Journal of Operational Research, 181(1):505--514, 2007. [WWW ] [bibtex-key = BouyssouPirlot2007Notule] [bibtex-entry]


  47. F. Tunc Bozbura and Ahmet Beskese. Prioritization of organizational capital measurement indicators using fuzzy AHP. International Journal of Approximate Reasoning, 44(2):124-147, February 2007. [WWW ] [bibtex-entry]


  48. Jean-Pierre Brans and Giorgio Gallo. Ethics in OR/MS: past, present and future. 153(1):165 - 178, september 2007. [WWW ] [bibtex-key = Brans:2007] [bibtex-entry]


  49. Alan C. Brent, David E.C. Rogers, Tsaletseng S.M. Ramabitsa-Siimane, and Mark B. Rohwer. Application of the analytical hierarchy process to establish health care waste management systems that minimise infection risks in developing countries. European Journal of Operational Research, 181(1):403 - 424, August 2007. [WWW ] [bibtex-key = Brent:2007] [bibtex-entry]


  50. Rafael Caballero, González, Flor M Mercedes Guerrero, Julian Molina, and Concepción Paralera. Solving a multiobjective location routing problem with a metaheuristic based on tabu search. Application to a real case in Andalusia. European Journal of Operational Research, 177(3):1751-1763, March 2007. [WWW ] [bibtex-entry]


  51. Y. Canbolat, K. Chelst, and N. Garg. Combining decision tree and MAUT for selecting a country for a global manufacturing facility. Omega, 35(3):312-325, June 2007. [WWW ] [bibtex-entry]


  52. Emilio Carrizosa and Frédéric Messine. An exact global optimization method for deriving weights from pairwise comparison matrices. 38(2):237 - 247, June 2007. [WWW ] [bibtex-key = Carrizosa:2007] [bibtex-entry]


  53. E. Carrizosa and F. Messine. An exact global optimization method for deriving weights from pairwise comparison matrices. Journal of Global Optimization, 2007. [WWW ] [bibtex-entry]


  54. E. Carrizosa and D. Romero Morales. A biobjective method for sample allocation in stratified sampling. European Journal of Operational Research, 177(2):1074-1089, March 2007. [bibtex-entry]


  55. A. Carvajal. Individually Rational Collective Choice. Theory and Decision, 62(4):355 - 374, May 2007. [WWW ] [bibtex-key = Carvajal:2007] [bibtex-entry]


  56. P. Cecconi, F. Franceschini, and M. Galetto. The conceptual link between measurements, evaluations, preferences and indicators, according to the representational theory. European Journal of Operational Research, 179(1):174-185, May 2007. [WWW ] [bibtex-entry]


  57. Salem Chakhar and Vincent Mousseau. An algebra for multicriteria spatial modelling. Computers, Environment and Urban Systems, 31(5):572--593, september 2007. [WWW ] [ ]
    Abstract: The objective of this paper is to propose a new algebra, called decision map algebra (DMA), especially devoted to multicriteria spatial modeling. DMA is a generic and context-independent modeling language inspired from map algebra and other similar languages. It supports the conventional geometric objects and cartographic maps and adds a rich set of new operands representing different spatial multicriteria concepts. Moreover, DMA supports different conventional map algebra-like operations and adds several new ones corresponding to different spatial multicriteria evaluation functions. The proposed algebra is the first step towards the development of a generic spatial multicriteria modeling language
    [bibtex-key = ChakharMousseauToAppear-a] [bibtex-entry]


  58. F. Chan and N. Kumar. Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35(4):417-431, August 2007. [WWW ] [bibtex-entry]


  59. C.-C. Chern and J.-S. Hsieh. A heuristic algorithm for master planning that satisfies multiple objectives. Computers & Operations Research, 34(11):3491 - 3513, November 2007. [WWW ] [bibtex-key = Chern:2007] [bibtex-entry]


  60. F. Chiclana, E. Herrera-Viedma, F. Herrera, and S. Alonso. Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations. European Journal of Operational Research, 182(1):383 - 399, October 2007. [WWW ] [bibtex-key = Chiclana:2007] [bibtex-entry]


  61. Altannar Chinchuluun and Panos Pardalos. A survey of recent developments in multiobjective optimization. 154(1):29 - 50, October 2007. [WWW ] [bibtex-key = Chinchuluun:2007] [bibtex-entry]


  62. Altannar Chinchuluun, Dehui Yuan, and Panos Pardalos. Optimality conditions and duality for nondifferentiable multiobjective fractional programming with generalized convexity. 154(1):133 - 147, October 2007. [WWW ] [bibtex-key = Chinchuluun:2007] [bibtex-entry]


  63. Yu-Jing Chiu and Yuh-Wen Chen. Using AHP in patent valuation. Mathematical and Computer Modelling, 46(7-8):1054 - 1062, October 2007. [WWW ] [bibtex-key = Chiu:2007] [bibtex-entry]


  64. Carlos A. Coello coello, Arturo Hernandez Aguirre, and Eckart Zitzler. Evolutionary multi-objective optimization. European Journal of Operational Research, 181(3), September 2007. [WWW ] [bibtex-key = Coellocoello:2007] [bibtex-entry]


  65. M. Colebrook and J. Sicilia. Undesirable facility location problems on multicriteria networks. Computers and Operations Research, 34(5):1491-1514, May 2007. [WWW ] [bibtex-entry]


  66. Marcos Colebrook and Joaquin Sicilia. A polynomial algorithm for the multicriteria cent-dian location problem. European Journal of Operational Research, 179(3):1008 - 1024, July 2007. [WWW ] [bibtex-key = Colebrook:2007] [bibtex-entry]


  67. I. Contreras and A.M. Marmol. A lexicographical compromise method for multiple criteria group decision problems with imprecise information. European Journal of Operational Research, 181(3):1530 - 1539, September 2007. [WWW ] [bibtex-key = Contreras:2007] [bibtex-entry]


  68. William W. Cooper, Jose L. Ruiz, and Inmaculada Sirvent. Choosing weights from alternative optimal solutions of dual multiplier models in DEA. European Journal of Operational Research, 180(1):443 - 458, June 2007. [WWW ] [bibtex-key = Cooper:2007] [bibtex-entry]


  69. Joao Paulo Costa. Computing non-dominated solutions in MOLFP. European Journal of Operational Research, 181(3):1464 - 1475, September 2007. [WWW ] [bibtex-key = Costa:2007] [bibtex-entry]


  70. M.A.A. Cox. Examining alternatives in the interval analytic hierarchy process using complete enumeration. European Journal of Operational Research, 180(2):957 - 962, June 2007. [WWW ] [bibtex-key = Cox:2007] [bibtex-entry]


  71. Susan Crowe and Jamie Lucas-Vergona. What should be done about the illegal immigration from Mexico to the United States?. Mathematical and Computer Modelling, 46(7-8):1115 - 1129, October 2007. [WWW ] [bibtex-key = Crowe:2007] [bibtex-entry]


  72. S. Damart, L. Dias, and V. Mousseau. Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS. Decision Support Systems, 43(4):1464-1475, August 2007. [WWW ] [ ]
    Abstract: This paper addresses the situation where a group wishes to cooperatively develop a common multicriteria evaluation model to sort actions (projects, candidates) into classes. It is based on an aggregation/disaggregation approach for the ELECTRE TRI method, implemented on the Decision Support System IRIS. We provide a methodology in which the group discusses how to sort some exemplary actions (possibly fictitious ones), instead of discussing what values the model parameters should take. This paper shows how IRIS may be used to help the group to iteratively reach an agreement on how to sort one or a few actions at a time, preserving the consistency of these sorting examples both at the individual level and at the collective level. The computation of information that may guide the discussion among the group members is also suggested. We provide an illustrative example and discuss some paths for future research motivated by this work.
    [bibtex-key = dama3infor02] [bibtex-entry]


  73. Yves De Smet. Multi-criteria auctions without full comparability of bids. European Journal of Operational Research, 177(3):1433-1452, March 2007. [WWW ] [bibtex-entry]


  74. Chen Degang, Wang Changzhong, and Hu Qinghua. A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Information Sciences, 177(17):3500 - 3518, september 2007. [WWW ] [bibtex-key = Degang:2007] [bibtex-entry]


  75. Enrico Diecidue, Peter Wakker, and Marcel Zeelenberg. Eliciting decision weights by adapting de Finetti’s betting-odds method to prospect theory. 34(3):179 - 199, July 2007. [WWW ] [bibtex-key = Diecidue:2007] [bibtex-entry]


  76. Enrico Diecidue, Peter Wakker, and Marcel Zeelenberg. Eliciting decision weights by adapting de Finetti s betting-odds method to prospect theory. Journal of Risk and Uncertainty, 34(3):179 - 199, JUNE 2007. [WWW ] [bibtex-key = Diecidue:2007] [bibtex-entry]


  77. Karl Doerner, Axel Focke, and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcare facilities in a developing country. European Journal of Operational Research, 179(3):1078-1096, June 2007. [WWW ] [bibtex-entry]


  78. Jozsef Dombi, Csanad Imreh, and Nandor Vincze. Learning lexicographic orders. European Journal of Operational Research, 183(2):748 - 756, December 2007. [WWW ] [bibtex-key = Dombi:2007] [bibtex-entry]


  79. Haris Ch. Doukas, Botsikas M. Andreas, and John E. Psarras. Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables. European Journal of Operational Research, 182(2):844 - 855, October 2007. [WWW ] [bibtex-key = Doukas:2007] [bibtex-entry]


  80. Matthias Ehrgott and Xavier Gandibleux. Bound sets for biobjective combinatorial optimization problems. Computers and Operations Research, 34(9):2674 - 2694, September 2007. [WWW ] [bibtex-key = Ehrgott:2007] [bibtex-entry]


  81. Matthias Ehrgott and Xavier Gandibleux. Bound sets for biobjective combinatorial optimization problems. Computers & Operations Research, 34(9):2674 - 2694, September 2007. [WWW ] [bibtex-key = Ehrgott:2007] [bibtex-entry]


  82. M. Ehrgott, J. Puerto, and A. Rodriguez-Chia. Primal-Dual Simplex Method for Multiobjective Linear Programming. 134(3):483 - 497, September 2007. [WWW ] [bibtex-key = Ehrgott:2007] [bibtex-entry]


  83. Patrik Eklund, Agnieszka Rusinowska, and Harrie De Swart. Consensus reaching in committees. European Journal of Operational Research, 178(1):185-193, April 2007. [WWW ] [bibtex-entry]


  84. A. Engau and M. Wiecek. Cone Characterizations of Approximate Solutions in Real Vector Optimization. 134(3):499 - 513, September 2007. [bibtex-key = Engau:2007] [bibtex-entry]


  85. Alexander Engau and Margaret M. Wiecek. Generating e-efficient solutions in multiobjective programming. European Journal of Operational Research, 177(3):1566-1579, March 2007. [WWW ] [bibtex-entry]


  86. M.P. Estellita lins, A.C. Moreira da silva, and C.A.K. Lovell. Avoiding infeasibility in DEA models with weight restrictions. European Journal of Operational Research, 181(2):956 - 966, September 2007. [WWW ] [bibtex-key = Estellitalins:2007] [bibtex-entry]


  87. Tuan-Fang Fan, Duen-Ren Liu, and Gwo-Hshiung Tzeng. Rough set-based logics for multicriteria decision analysis. European Journal of Operational Research, 182(1):340 - 355, October 2007. [WWW ] [bibtex-key = Fan:2007] [bibtex-entry]


  88. Reza Zanjirani Farahani and Nasrin Asgari. Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study. European Journal of Operational Research, 176(3):1839-1858, February 2007. [WWW ] [bibtex-entry]


  89. Michele Fedrizzi and Silvio Giove. Incomplete pairwise comparison and consistency optimization. European Journal of Operational Research, 183(1):303 - 313, November 2007. [WWW ] [bibtex-key = Fedrizzi:2007] [bibtex-entry]


  90. Michele Fedrizzi and Silvio Giove. Incomplete pairwise comparison and consistency optimization. European Journal of Operational Research, 183(1):303 - 313, November 2007. [WWW ] [bibtex-key = Fedrizzi:2007] [bibtex-entry]


  91. Ding Feng and Hung T. Nguyen. Choquet weak convergence of capacity functionals of random sets. Information Sciences, 177(16):3239 - 3250, August 2007. [WWW ] [bibtex-key = Feng:2007] [bibtex-entry]


  92. Jose Fernandez and Boglarka Tath. Obtaining an outer approximation of the efficient set of nonlinear biobjective problems. Journal of Global Optimization, 38(2):315 - 331, June 2007. [WWW ] [bibtex-key = Fernandez:2007] [bibtex-entry]


  93. Katsushige Fujimoto, Toshiaki Murofushi, and Michio Sugeno. k-Additivity and -decomposability of bi-capacities and its integral. Fuzzy Sets and Systems, 158(15):1698 - 1712, August 2007. [WWW ] [bibtex-key = Fujimoto:2007] [bibtex-entry]


  94. Ellen Garbarino and Robert Slonim. Preferences and decision errors in the winner’s curse. Journal of Risk and Uncertainty, 34(3):241 - 257, JUNE 2007. [WWW ] [bibtex-key = Garbarino:2007] [bibtex-entry]


  95. Ellen Garbarino and Robert Slonim. Preferences and decision errors in the winner’s curse. 34(3):241 - 257, July 2007. [WWW ] [bibtex-key = Garbarino:2007] [bibtex-entry]


  96. C. Garcia-Martinez, O. Cordon, and F. Herrera. A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP. European Journal of Operational Research, 180(1):116 - 148, June 2007. [WWW ] [bibtex-key = GarciaMartinez:2007] [bibtex-entry]


  97. Claudio Garuti and Isabel Spencer. Parallels between the analytic hierarchy and network processes (AHP/ANP) and fractal geometry. Mathematical and Computer Modelling, 46(7-8):926 - 934, October 2007. [WWW ] [bibtex-key = Garuti:2007] [bibtex-entry]


  98. Martin Josef Geiger. On operators and search space topology in multi-objective flow shop scheduling. European Journal of Operational Research, 181(1):195--206, August 2007.
    Note: ISSN 0377-2217. [bibtex-key = geiger:on:operators] [bibtex-entry]


  99. Irina Georgescu. Consistency indicators for fuzzy choice functions. Mathematical Social Sciences, 53(1):93-105, January 2007. [WWW ] [bibtex-entry]


  100. Nathasit Gerdsri and Dundar F. Kocaoglu. Applying the Analytic Hierarchy Process (AHP) to build a strategic framework for technology roadmapping. Mathematical and Computer Modelling, 46(7-8):1071 - 1080, October 2007. [WWW ] [bibtex-key = Gerdsri:2007] [bibtex-entry]


  101. Ray Gibney and Jennifer Shang. Decision making in academia: A case of the dean selection process. Mathematical and Computer Modelling, 46(7-8):1030 - 1040, October 2007. [WWW ] [bibtex-key = Gibney:2007] [bibtex-entry]


  102. C. Gil, A. Marquez, R. Banos, M. Montoya, and J. Gomez. A hybrid method for solving multi-objective global optimization problems. Journal of Global Optimization, 38(2):265 - 281, June 2007. [WWW ] [bibtex-key = Gil:2007] [bibtex-entry]


  103. Carlos Gomes da Silva, José Figueira, and João Clímaco. Integrating partial optimization with scatter search for solving bi-criteria 0,1-knapsack problems. European Journal of Operational Research, 177(3):1656-1677, March 2007. [WWW ] [bibtex-entry]


  104. Jacinto Gonzalez-Pachon and Carlos Romero. Inferring consensus weights from pairwise comparison matrices without suitable properties. 154(1):123 - 132, October 2007. [WWW ] [bibtex-key = GonzalezPachon:2007] [bibtex-entry]


  105. Min Guo, Jian-Bo Yang, Kwai-Sang Chin, and Hongwei Wang. Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty. European Journal of Operational Research, 182(3):1294 - 1312, November 2007. [WWW ] [bibtex-key = Guo:2007] [bibtex-entry]


  106. K. Hafeez, N. Malak, and Y.B. Zhang. Outsourcing non-core assets and competences of a firm using analytic hierarchy process. Computers & Operations Research, 34(12):3592 - 3608, December 2007. [WWW ] [bibtex-key = Hafeez:2007] [bibtex-entry]


  107. Stefan Hajkowicz and Kerry Collins. A Review of Multiple Criteria Analysis for Water Resource Planning and Management. 21(9):1553 - 1566, September 2007. [WWW ] [bibtex-key = Hajkowicz:2007] [bibtex-entry]


  108. Horst W. Hamacher, Christian Roed Pedersen, and Stefan Ruzika. Multiple objective minimum cost flow problems: A review. European Journal of Operational Research, 176(3):1404-1422, February 2007. [WWW ] [bibtex-entry]


  109. Thomas Hanne. A multiobjective evolutionary algorithm for approximating the efficient set. European Journal of Operational Research, 176(3):1723-1734, February 2007. [WWW ] [bibtex-entry]


  110. M. Hirschberger, Y. Qi, and R. E. Steuer. Randomly Generating Portfolio-Selection Covariance Matrices with Specified Distributional Characteristics. European Journal of Operational Research, 177(3):1610-1625, march 2007. [WWW ] [bibtex-key = hqs07a] [bibtex-entry]


  111. R. Horst, N. Thoai, Y. Yamamoto, and D. Zenke. On Optimization over the Efficient Set in Linear Multicriteria Programming. 134(3):433 - 443, September 2007. [WWW ] [bibtex-key = Horst:2007] [bibtex-entry]


  112. Nicolas Houy. A characterization for qualified majority voting rules. Mathematical Social Sciences, 54(1):17 - 24, June 2007. [WWW ] [bibtex-key = Houy:2007] [bibtex-entry]


  113. Chao-Fang Hu, Chang-Jun Teng, and Shao-Yuan Li. A fuzzy goal programming approach to multi-objective optimization problem with priorities. European Journal of Operational Research, 176(3):1319-1333, February 2007. [WWW ] [bibtex-entry]


  114. Zhongsheng Hua, Wenqi Jiang, and Liang Liang. Adjusting inconsistency through learning in group decision-making, and its application to China's MBA recruiting interview. Socio-Economic Planning Sciences, 41(3):195 - 207, September 2007. [WWW ] [bibtex-key = Hua:2007] [bibtex-entry]


  115. Yeu-Shiang Huang and Hui-Chen Wu. A power law type of time preference on intertemporal choices. European Journal of Operational Research, 183(2):718 - 728, December 2007. [WWW ] [bibtex-key = Huang:2007] [bibtex-entry]


  116. Yumei Huo, Joseph Y.-T. Leung, and Hairong Zhao. Bi-criteria scheduling problems: Number of tardy jobs and maximum weighted tardiness. European Journal of Operational Research, 177(1):116-134, February 2007. [WWW ] [bibtex-entry]


  117. Heung Suk Hwang, Wen-Hwa Ko, and Meng-Jong Goan. Web-based multi-attribute analysis model for make-or-buy decisions. Mathematical and Computer Modelling, 46(7-8):1081 - 1090, October 2007. [WWW ] [bibtex-key = Hwang:2007] [bibtex-entry]


  118. Takehiro Inohara. Self-consistency of decision rules for group decision making. European Journal of Operational Research, 180(3):1260 - 1271, August 2007. [WWW ] [bibtex-key = Inohara:2007] [bibtex-entry]


  119. Gulfem Isiklar and Gulcin Buyukozkan. Using a multi-criteria decision making approach to evaluate mobile phone alternatives. Computer Standards and Interfaces, 29(2):265-274, February 2007. [WWW ] [bibtex-entry]


  120. Rafikul Islam. MBNQA criteria in education: assigning weights from a Malaysian perspective and proposition for an alternative evaluation scheme. International Transactions in Operational Research, 14(5):373-394, 2007. [WWW ] [bibtex-entry]


  121. Nergiz A. Ismayilova, Mujgan Sagir, and Rafail N. Gasimov. A multiobjective faculty-course-time slot assignment problem with preferences. Mathematical and Computer Modelling, 46(7-8):1017 - 1029, October 2007. [WWW ] [bibtex-key = Ismayilova:2007] [bibtex-entry]


  122. Khaled Jabeur and Jean-Marc Martel. An ordinal sorting method for group decision-making. European Journal of Operational Research, 180(3):1272 - 1289, August 2007. [WWW ] [bibtex-key = Jabeur:2007] [bibtex-entry]


  123. Josef Jablonsky. Measuring the efficiency of production units by AHP models. Mathematical and Computer Modelling, 46(7-8):1091 - 1098, October 2007. [WWW ] [bibtex-key = Jablonsky:2007] [bibtex-entry]


  124. Nicolas Jozefowiez, Frédéric Semet, and El-Ghazali Talbi. The bi-objective covering tour problem. Computers and Operations Research, 34(7):1929-1942, July 2007. [WWW ] [bibtex-entry]


  125. Cengiz Kahraman, Gulcin Buyukozkan, and Nufer Yasin Ates. A two phase multi-attribute decision-making approach for new product introduction. Information Sciences, 177(7):1567 - 1582, May 2007. [WWW ] [bibtex-key = Kahraman2007] [bibtex-entry]


  126. Cengiz Kahraman, Sezi Cevik, Nufer Yasin Ates, and Murat Gulbay. Fuzzy multi-criteria evaluation of industrial robotic systems. Computers & Industrial Engineering, 52(4):414 - 433, May 2007. [WWW ] [bibtex-key = Kahraman:2007] [bibtex-entry]


  127. S. Kameshwaran, Y. Narahari, Charles H. Rosa, Devadatta M. Kulkarni, and Jeffrey D. Tew. Multiattribute electronic procurement using goal programming. European Journal of Operational Research, 179(2):518-536, June 2007. [WWW ] [bibtex-entry]


  128. B. Kaminski. On quasi-orderings and multi-objective functions. European Journal of Operational Research, 177(3):1591-1598, March 2007. [WWW ] [bibtex-entry]


  129. David Kelsey and Erkan Yalcin. The arbitrage pricing theorem with incomplete preferences. Mathematical Social Sciences, 54(1):90 - 105, June 2007. [WWW ] [bibtex-key = Kelsey:2007] [bibtex-entry]


  130. Ivan Kojadinovic. A weight-based approach to the measurement of the interaction among criteria in the framework of aggregation by the bipolar Choquet integral. European Journal of Operational Research, 179(2):498-517, June 2007. [WWW ] [bibtex-entry]


  131. Ivan Kojadinovic. Minimum variance capacity identification. European Journal of Operational Research, 177(1):498-514, February 2007. [WWW ] [bibtex-entry]


  132. Ivan Kojadinovic. Quadratic distances for capacity and bi-capacity approximation and identification. 5(2):117 - 142, July 2007. [WWW ] [bibtex-key = Kojadinovic:2007] [bibtex-entry]


  133. Ivan Kojadinovic and Jean-Luc Marichal. Entropy of bi-capacities. European Journal of Operational Research, 178(1):168-184, April 2007. [WWW ] [bibtex-entry]


  134. Anna Kolesarova, Gaspar Mayor, and Radko Mesiar. Weighted ordinal means. Information Sciences, 177(18):3822 - 3830, September 2007. [WWW ] [bibtex-key = Kolesarova:2007] [bibtex-entry]


  135. Victor B. Kreng and Chao-Yi Wu. Evaluation of knowledge portal development tools using a fuzzy AHP approach: The case of Taiwanese stone industry. European Journal of Operational Research, 176(3):1795-1810, February 2007. [WWW ] [bibtex-entry]


  136. Dorota Kuchta. Choice of the best alternative in case of a continuous set of states of nature-application of fuzzy numbers. 6(2):173 - 178, June 2007. [WWW ] [bibtex-key = Kuchta:2007] [bibtex-entry]


  137. Ming-Shin Kuo, Gwo-Hshiung Tzeng, and Wen-Chih Huang. Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment. Mathematical and Computer Modelling, 45(3-4):324-339, February 2007. [WWW ] [bibtex-entry]


  138. Levent Kutlu. Arrovian aggregation for preferences over sets. Mathematical Social Sciences, 53(3):255 - 258, May 2007. [WWW ] [bibtex-key = Kutlu:2007] [bibtex-entry]


  139. Christophe Labreuche and M. Grabisch. The representation of conditional relative importance between criteria. 154(1):93 - 122, October 2007. [WWW ] [bibtex-key = Labreuche:2007] [bibtex-entry]


  140. Claude Lamboray. A comparison between the prudent order and the ranking obtained with Borda's, Copeland's, Slater's and Kemeny's rules. Mathematical Social Sciences, 54(1):1 - 16, June 2007. [WWW ] [bibtex-key = Lamboray:2007] [bibtex-entry]


  141. J.W. Large, D.F. Jones, and M. Tamiz. Hyper-spherical inversion transformations in multi-objective evolutionary optimization. European Journal of Operational Research, 177(3):1678-1702, March 2007. [WWW ] [bibtex-entry]


  142. Dan Hyung Lee, Kwang Chun Lee, Sungwon Kang, and Jongmoon Baik. A priori ordering protocols to support consensus-building in multiple stakeholder contexts. Information Sciences, 177(15):3129 - 3150, August 2007. [WWW ] [bibtex-key = Lee:2007] [bibtex-entry]


  143. Loo Hay Lee, Chul Ung Lee, and Yen Ping Tan. A multi-objective genetic algorithm for robust flight scheduling using simulation. European Journal of Operational Research, 177(3):1948-1968, March 2007. [WWW ] [bibtex-entry]


  144. Jason K. Levy and Kouichi Taji. Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach. Mathematical and Computer Modelling, 46(7-8):906 - 917, October 2007. [WWW ] [bibtex-key = Levy:2007] [bibtex-entry]


  145. Z. Liao and J. Rittscher. A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics, 105(1):150-159, January 2007. [WWW ] [bibtex-entry]


  146. Juuso Liesio, Pekka Mild, and Ahti Salo. Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181(3):1488 - 1505, September 2007. [WWW ]
    Abstract: In decision analysis, difficulties of obtaining complete information about model parameters make it advisable to seek robust solutions that perform reasonably well across the full range of feasible parameter values. In this paper, we develop the Robust Portfolio Modeling (RPM) methodology which extends Preference Programming methods into portfolio problems where a subset of project proposals are funded in view of multiple evaluation criteria. We also develop an algorithm for computing all non-dominated portfolios, subject to incomplete information about criterion weights and project-specific performance levels. Based on these portfolios, we propose a project-level index to convey (i) which projects are robust choices (in the sense that they would be recommended even if further information were to be obtained) and (ii) how continued activities in preference elicitation should be focused. The RPM methodology is illustrated with an application using real data on road pavement projects.
    [bibtex-key = Liesio:2007] [bibtex-entry]


  147. Frej Limayem and Bernard Yannou. Selective assessment of judgmental inconsistencies in pairwise comparisons for group decision rating. Computers and Operations Research, 34(6):1824-1841, June 2007. [WWW ] [bibtex-entry]


  148. Hua-Wen Liu and Guo-Jun Wang. Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research, 179(1):220-233, May 2007. [WWW ] [bibtex-entry]


  149. Graham Loomes and Judith Mehta. The sensitivity of subjective probability to time and elicitation method. Journal of Risk and Uncertainty, 34(3):201 - 216, JUNE 2007. [WWW ] [bibtex-key = Loomes:2007] [bibtex-entry]


  150. Graham Loomes and Judith Mehta. The sensitivity of subjective probability to time and elicitation method. 34(3):201 - 216, July 2007. [WWW ] [bibtex-key = Loomes:2007] [bibtex-entry]


  151. Taicir Loukil, Jacques Teghem, and Philippe Fortemps. A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research, 179(3):709 - 722, July 2007. [WWW ] [bibtex-key = Loukil:2007] [bibtex-entry]


  152. Taïcir Loukil, Jacques Teghem, and Philippe Fortemps. A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research, 179(3):709-722, June 2007. [WWW ] [bibtex-entry]


  153. Wan Lung. A simple classifier for multiple criteria ABC analysis. European Journal of Operational Research, 177(1):344-353, February 2007. [WWW ] [bibtex-entry]


  154. M. Luque, R. Caballero, J. Molina, and F. Ruiz. Equivalent Information for Multiobjective Interactive Procedures. Management Science, 53:125--134, 2007. [WWW ] [bibtex-key = fR07] [bibtex-entry]


  155. N.J.Z. Mamat and J.K. Daniel. Statistical analyses on time complexity and rank consistency between singular value decomposition and the duality approach in AHP: A case study of faculty member selection. Mathematical and Computer Modelling, 46(7-8):1099 - 1106, October 2007. [WWW ] [bibtex-key = Mamat:2007] [bibtex-entry]


  156. Aristotelis Mantoglou and George Kourakos. Optimal Groundwater Remediation Under Uncertainty Using Multi-objective Optimization. Water Resources Management, 21(5):835 - 847, May 2007. [WWW ] [bibtex-key = Mantoglou:2007] [bibtex-entry]


  157. Thierry Marchant. An axiomatic characterization of different majority concepts. European Journal of Operational Research, 179(1):160-173, May 2007. [WWW ] [bibtex-entry]


  158. Carlos E. Mariano-Romero, Victor H. Alcocer-Yamanaka, and Eduardo F. Morales. Multi-objective optimization of water-using systems. European Journal of Operational Research, 181(3):1691 - 1707, September 2007. [WWW ] [bibtex-key = MarianoRomero:2007] [bibtex-entry]


  159. Jean-Luc Marichal. k-intolerant capacities and Choquet integrals. European Journal of Operational Research, 177(3):1453-1468, March 2007. [WWW ] [bibtex-entry]


  160. A.M. Marmol, L. Monroy, and V. Rubiales. An equitable solution for multicriteria bargaining games. European Journal of Operational Research, 177(3):1523-1534, March 2007. [WWW ] [bibtex-entry]


  161. A. Mateos, S. Ríos-Insua, and A. Jiménez. Dominance, Potential Optimality and Alternative Ranking in an Imprecise Multi-Attribute Model. Journal of Operational Research Society, 58(3):326-336, 2007. [WWW ] [bibtex-key = MateosJORS2007] [bibtex-entry]


  162. Manuel A. Matos. Decision under risk as a multicriteria problem. European Journal of Operational Research, 181(3):1516 - 1529, September 2007. [WWW ] [bibtex-key = Matos:2007] [bibtex-entry]


  163. Andres L. Medaglia, Samuel B. Graves, and Jeffrey L. Ringuest. A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3):869 - 894, July 2007. [WWW ] [bibtex-key = Medaglia:2007] [bibtex-entry]


  164. Andrés L. Medaglia, Samuel B. Graves, and Jeffrey L. Ringuest. A multiobjective evolutionary approach for linearly constrained project selection under uncertainty. European Journal of Operational Research, 179(3):869-894, June 2007. [WWW ] [bibtex-entry]


  165. S.K. Mishra and K.K. Lai. Second order symmetric duality in multiobjective programming involving generalized cone-invex functions. European Journal of Operational Research, 178(1):20-26, April 2007. [WWW ] [bibtex-entry]


  166. Savita Mishra. Weighting method for bi-level linear fractional programming problems. European Journal of Operational Research, 183(1):296 - 302, November 2007. [WWW ] [bibtex-key = Mishra:2007] [bibtex-entry]


  167. Stacy Monarko, Kyle Lambert, and Mark Sigmund. Should a new arena be built in the city of Pittsburgh?. Mathematical and Computer Modelling, 46(7-8):1160 - 1182, October 2007. [WWW ] [bibtex-key = Monarko:2007] [bibtex-entry]


  168. J. Mustajoki, R.P. Hamalainen, and K. Sinkko. Interactive Computer Support in Decision Conferencing: Two Cases on Off-site Nuclear Emergency Management, Decision Support Systems. Decision Support Systems, 42(4):2247-2260, 2007. [WWW ] [bibtex-key = mustajokihamalainensinkko2007] [bibtex-entry]


  169. Subhash C. Narula and John F. Wellington. Multiple criteria linear regression. European Journal of Operational Research, 181(2):767 - 772, September 2007. [WWW ] [bibtex-key = Narula:2007] [bibtex-entry]


  170. Michael Neumann. Choosing and Describing: Sen and the Irrelevance of Independence Alternatives. Theory and Decision, 63(1):79 - 94, August 2007. [WWW ] [bibtex-key = Neumann:2007] [bibtex-entry]


  171. Frank Neumann. Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem. European Journal of Operational Research, 181(3):1620 - 1629, September 2007. [WWW ] [bibtex-key = Neumann:2007] [bibtex-entry]


  172. Maciej Nowak. Aspiration level approach in stochastic MCDM problems. European Journal of Operational Research, 177(3):1626-1640, March 2007. [WWW ] [bibtex-entry]


  173. Astrid Oddershede, Arnoldo Arias, and Hugo Cancino. Rural development decision support using the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7-8):1107 - 1114, October 2007. [WWW ] [bibtex-key = Oddershede:2007] [bibtex-entry]


  174. Shinji Ohseto. A characterization of the Borda rule in peer ratings. Mathematical Social Sciences, 54(2):147 - 151, September 2007. [WWW ] [bibtex-key = Ohseto:2007] [bibtex-entry]


  175. Vesa Ojalehto, Kaisa Miettinen, and Marko M. Mäkelä. Interactive Software for Multiobjective Optimization: IND-NIMBUS. WSEAS Transactions on Computers, 6:87--94, 2007. [bibtex-key = OjaMie] [bibtex-entry]


  176. Carla Oliveira and Carlos Henggeler Antunes. Multiple objective linear programming models with interval coefficients - an illustrated overview. European Journal of Operational Research, 181(3):1434 - 1463, September 2007. [WWW ] [bibtex-key = Oliveira:2007] [bibtex-entry]


  177. Serafim Opricovic and Gwo-Hshiung Tzeng. Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2):514-529, April 2007. [WWW ] [bibtex-entry]


  178. Meltem Ozturk and Alexis Tsoukias. Modelling uncertain positive and negative reasons in decision aiding. Decision Support Systems, 43(4):1512 - 1526, August 2007. [WWW ] [bibtex-key = Ozturk:2007] [bibtex-entry]


  179. D. Parr and J. Thompson. Solving the multi-objective nurse scheduling problem with a weighted cost function. 155(1):279 - 288, November 2007. [WWW ] [bibtex-key = Parr:2007] [bibtex-entry]


  180. R.O. Parreiras and J.A. Vasconcelos. A multiplicative version of Promethee II applied to multiobjective optimization problems. European Journal of Operational Research, 183(2):729 - 740, December 2007. [WWW ] [bibtex-key = Parreiras:2007] [bibtex-entry]


  181. Zdzislaw Pawlak and Andrzej Skowron. Rudiments of rough sets. Information Sciences, 177(1):3-27, January 2007. [WWW ] [bibtex-entry]


  182. Kirti Peniwati. Criteria for evaluating group decision-making methods. Mathematical and Computer Modelling, 46(7-8):935 - 947, October 2007. [WWW ] [bibtex-key = Peniwati:2007] [bibtex-entry]


  183. F. Pereira, J. Figueira, V. Mousseau, and Bernard Roy. Multiple Criteria Districting Problems: The Public Transportation Network Pricing System of the Paris Region. Annals of Operations Research, 154(1):69-92, October 2007. [WWW ] [ ]
    Abstract: Districting problems are of high importance in many different fields. Multiple criteria models seem a more adequate representation of districting problems in real-world situations. Real-life decision situations are by their very nature multidimensional. This paper deals with the problem of partitioning a territory into ``homogeneous'' zones. Each zone is composed of a set of elementary territorial units. A district map is formed by partitioning the set of elementary units into connected zones without inclusions. When multiple criteria are considered, the problem of enumerating all the efficient solutions for such a model is known as being NP-hard, which is why we decided to avoid using exact methods to solve large-size instances. In this paper, we propose a new method to approximate the Pareto front based on an evolutionary algorithm with local search. The algorithm presents a new solution representation and the \emph{crossover/mutation} operators. Its main features are the following: it deals with multiple criteria; it allows to solve large-size instances in a reasonable CPU time and generates high quality solutions. The algorithm was applied to a real-world problem, that of the Paris region public transportation. Results will be used for a discussion about the reform of its current pricing system
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  184. Irina Perfilieva and Vilem Novak. System of fuzzy relation equations as a continuous model of IF-THEN rules. Information Sciences, 177(16):3218 - 3227, August 2007. [WWW ] [bibtex-key = Perfilieva:2007] [bibtex-entry]


  185. Cahit Perkgoz, Amir Azaron, Hideki Katagiri, Kosuke Kato, and Masatoshi Sakawa. A multi-objective lead time control problem in multi-stage assembly systems using genetic algorithms. European Journal of Operational Research, 180(1):292 - 308, June 2007. [WWW ] [bibtex-key = Perkgoz:2007] [bibtex-entry]


  186. D. Petkov, O. Petkova, T. Andrew, and T. Nepal. Mixing Multiple Criteria Decision Making with soft systems thinking techniques for decision support in complex situations. Decision Support Systems, 43(4):1615 - 1629, August 2007. [WWW ] [bibtex-key = Petkov:2007] [bibtex-entry]


  187. Lawrence Phillips and Carlos Bana e costa. Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing. 154(1):51 - 68, October 2007. [WWW ] [bibtex-key = Phillips:2007] [bibtex-entry]


  188. Vladislav V. Podinovski. Interval articulation of superiority and precise elicitation of priorities. European Journal of Operational Research, 180(1):406 - 417, June 2007. [WWW ] [bibtex-key = Podinovski:2007] [bibtex-entry]


  189. V.V. Podinovski. Computation of efficient targets in DEA models with production trade-offs and weight restrictions. European Journal of Operational Research, 181(2):586 - 591, September 2007. [WWW ] [bibtex-key = Podinovski:2007] [bibtex-entry]


  190. Gang Quan, Garrison W. Greenwood, Donglin Liu, and Sharon Hu. Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms. European Journal of Operational Research, 177(3):1969-1984, March 2007. [WWW ] [bibtex-entry]


  191. Antonio Quesada. Merging discrete evaluations. Mathematical Social Sciences, 54(1):25 - 34, June 2007. [WWW ] [bibtex-key = Quesada:2007] [bibtex-entry]


  192. L. Rabelo, H. Eskandari, T. Shaalan, and M. Helal. Value chain analysis using hybrid simulation and AHP. International Journal of Production Economics, 105(2):Value chain analysis using hybrid simulation and AHP, February 2007. [WWW ] [bibtex-entry]


  193. J. Renaud, J. Thibault, R. Lanouette, L.N. Kiss, K. Zaras, and C. Fonteix. Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process. European Journal of Operational Research, 177(3):1418-1432, March 2007. [WWW ] [bibtex-entry]


  194. Thomas L. Saaty, Kirti Peniwati, and Jen S. Shang. The analytic hierarchy process and human resource allocation: Half the story. Mathematical and Computer Modelling, 46(7-8):1041 - 1053, October 2007. [WWW ] [bibtex-key = Saaty:2007c] [bibtex-entry]


  195. Thomas L. Saaty and Jen S. Shang. Group decision-making: Head-count versus intensity of preference. Socio-Economic Planning Sciences, 41(1):22-37, March 2007. [WWW ] [bibtex-entry]


  196. Thomas L. Saaty and Liem T. Tran. On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7-8):962 - 975, October 2007. [WWW ] [bibtex-key = Saaty:2007a] [bibtex-entry]


  197. Thomas L. Saaty and Luis G. Vargas. Dispersion of group judgments. Mathematical and Computer Modelling, 46(7-8):918 - 925, October 2007. [WWW ] [bibtex-key = Saaty:2007] [bibtex-entry]


  198. Thomas L. Saaty. Multi-decisions decision-making: In addition to wheeling and dealing, our national political bodies need a formal approach for prioritization. Mathematical and Computer Modelling, 46(7-8):1001 - 1016, October 2007. [WWW ] [bibtex-key = Saaty:2007b] [bibtex-entry]


  199. Thomas L. Saaty. Time dependent decision-making; dynamic priorities in the AHP/ANP: Generalizing from points to functions and from real to complex variables. Mathematical and Computer Modelling, 46(7-8):860 - 891, October 2007. [WWW ] [bibtex-key = Saaty:2007] [bibtex-entry]


  200. Rehan Sadiq and Solomon Tesfamariam. Probability density functions based weights for ordered weighted averaging (OWA) operators: An example of water quality indices. European Journal of Operational Research, 182(3):1350 - 1368, November 2007. [WWW ] [bibtex-key = Sadiq:2007] [bibtex-entry]


  201. Yuji Sato. Administrative evaluation and public sector reform: an analytic hierarchy process approach. International Transactions in Operational Research, 14(5):445-453, 2007. [WWW ] [bibtex-entry]


  202. Hiroyuki Sato, Hernan E. Aguirre, and Kiyoshi Tanaka. Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems. European Journal of Operational Research, 181(3):1708 - 1723, September 2007. [WWW ] [bibtex-key = Sato:2007] [bibtex-entry]


  203. Martin Schrepp. On the evaluation of fit measures for quasi-orders. Mathematical Social Sciences, 53(2):196 - 208, April 2007. [WWW ] [bibtex-key = Schrepp:2007] [bibtex-entry]


  204. P. Sevastjanov and P. Figat. Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets. Omega, 35(5):505-523, October 2007. [WWW ] [bibtex-entry]


  205. Hsu-Shih Shih, Huan-Jyh Shyur, and E. Stanley Lee. An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7-8):801-813, April 2007. [WWW ] [bibtex-entry]


  206. Pradyumn Kumar Shukla and Kalyanmoy Deb. On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. European Journal of Operational Research, 181(3):1630 - 1652, September 2007. [WWW ] [bibtex-key = Shukla:2007] [bibtex-entry]


  207. Bethany Simunich. In the Fall of 2002, the ANP had shown a better way to deal with Iraq. Mathematical and Computer Modelling, 46(7-8):1130 - 1143, October 2007. [bibtex-key = Simunich:2007] [bibtex-entry]


  208. Yannis Siskos, Evangelos Grigoroudis, Evangelia Krassadaki, and Nikolaos Matsatsinis. A multicriteria accreditation system for information technology skills and qualifications. European Journal of Operational Research, 182(2):867 - 885, October 2007. [WWW ] [bibtex-key = Siskos:2007] [bibtex-entry]


  209. Yves Smet. A multicriteria perspective on reverse auctions. 5(2):169 - 172, July 2007. [WWW ] [bibtex-key = Smet:2007] [bibtex-entry]


  210. J. Cole Smith, Churlzu Lim, and J. Neil Bearden. On the multi-attribute stopping problem with general value functions. Operations Research Letters, 35(3):324 - 330, June 2007. [WWW ] [bibtex-key = Smith:2007] [bibtex-entry]


  211. Kenneth Sorensen. Multi-objective optimization of mobile phone keymaps for typing messages using a word list. European Journal of Operational Research, 179(3):838 - 846, July 2007. [WWW ] [bibtex-key = Sorensen:2007] [bibtex-entry]


  212. William E. Stein and Philip J. Mizzi. The harmonic consistency index for the analytic hierarchy process. European Journal of Operational Research, 177(1):488-497, February 2007. [WWW ] [bibtex-entry]


  213. S. Sujono and R. Lashkari. A multi-objective model of operation allocation and material handling system selection in FMS design. International Journal of Production Economics, 105(1):116-133, January 2007. [WWW ] [bibtex-entry]


  214. Kenneth Sörensen. Multi-objective optimization of mobile phone keymaps for typing messages using a word list. European Journal of Operational Research, 179(3):838-846, June 2007. [WWW ] [bibtex-entry]


  215. Vincent T'kindt, Karima Bouibede-Hocine, and Carl Esswein. Counting and enumeration complexity with application to multicriteria scheduling. 153(1):215 - 234, september 2007. [WWW ] [bibtex-key = T'kindt:2007] [bibtex-entry]


  216. K.C. Tan, C.Y. Cheong, and C.K. Goh. Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. European Journal of Operational Research, 177(2):813-839, March 2007. [WWW ] [bibtex-entry]


  217. Ipek Gursel Tapki. Revealed incomplete preferences under status-quo bias. Mathematical Social Sciences, 53(3):274 - 283, May 2007. [WWW ] [bibtex-key = Tapki:2007] [bibtex-entry]


  218. Madjid Tavana, James W. Smither, and Ralph V. Anderson. D-side : A facility and workforce planning group multi-criteria decision support system for Johnson Space Center. Computers and Operations Research, 34(6):1646-1673, June 2007. [WWW ] [bibtex-entry]


  219. M. Tavana, J.W. Smither, and R.V. Anderson. D-side: A facility and workforce planning group multi-criteria decision support system for Johnson Space Center. Computers and Operations Reserach, 34(6):1646-1673, June 2007. [WWW ] [bibtex-entry]


  220. Adiel Teixeira de almeida. Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research, 34(12):3569 - 3574, December 2007. [WWW ] [bibtex-key = Teixeiradealmeida:2007] [bibtex-entry]


  221. Adiel Teixeira de almeida. Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research, 34(12):3569 - 3574, December 2007. [WWW ] [bibtex-key = Teixeiradealmeida:2007] [bibtex-entry]


  222. Ozan Tekinalp and Gizem Karsli. A new multiobjective simulated annealing algorithm. 39(1):49 - 77, September 2007. [WWW ] [bibtex-key = Tekinalp:2007] [bibtex-entry]


  223. Tommi Tervonen and Risto Lahdelma. Implementing stochastic multicriteria acceptability analysis. European Journal of Operational Research, 178(2):500-513, April 2007. [WWW ] [bibtex-entry]


  224. Ismail H. Toroslu and Yilmaz Arslanoglu. Genetic algorithm for the personnel assignment problem with multiple objectives. Information Sciences, 177(3):787-803, February 2007. [WWW ] [bibtex-entry]


  225. Alexis Tsoukiàs. On the concept of decision aiding process: an operational perspective. 154(1):3 - 27, October 2007. [WWW ] [bibtex-key = Tsoukiàs:2007] [bibtex-entry]


  226. Tien-Chin Wang and Tsung-Han Chang. Application of consistent fuzzy preference relations in predicting the success of knowledge management implementation. European Journal of Operational Research, 182(3):1313 - 1329, November 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  227. Ying-Ming Wang and Taha M.S. Elhag. A goal programming method for obtaining interval weights from an interval comparison matrix. European Journal of Operational Research, 177(1):458-471, February 2007. [WWW ] [bibtex-entry]


  228. Ying-Ming Wang and Taha M.S. Elhag. A fuzzy group decision making approach for bridge risk assessment. Computers & Industrial Engineering, 53(1):137 - 148, August 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  229. Ying-Ming Wang and Zhi-Ping Fan. Fuzzy preference relations: Aggregation and weight determination. Computers & Industrial Engineering, 53(1):163 - 172, August 2007. [WWW ] [bibtex-key = Wang:2007a] [bibtex-entry]


  230. Ying-Ming Wang, Ying Luo, and Xinwang Liu. Two new models for determining OWA operator weights. Computers & Industrial Engineering, 52(2):203 - 209, April 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  231. Ying-Ming Wang and Celik Parkan. A preemptive goal programming method for aggregating OWA operator weights in group decision making. Information Sciences, 177(8):1867 - 1877, May 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  232. Jian-Jun Wang and De-Li Yang. Using a hybrid multi-criteria decision aid method for information systems outsourcing. Computers & Operations Research, 34(12):3691 - 3700, December 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  233. Jian-Jun Wang and De-Li Yang. Using a hybrid multi-criteria decision aid method for information systems outsourcing. Computers & Operations Research, 34(12):3691 - 3700, December 2007. [WWW ] [bibtex-key = Wang:2007] [bibtex-entry]


  234. Wann-Ming Wey and Kuei-Yang Wu. Using ANP priorities with goal programming in resource allocation in transportation. Mathematical and Computer Modelling, 46(7-8):985 - 1000, October 2007. [WWW ] [bibtex-key = Wey:2007] [bibtex-entry]


  235. Rozann Whitaker. Validation examples of the Analytic Hierarchy Process and Analytic Network Process. Mathematical and Computer Modelling, 46(7-8):840 - 859, October 2007. [WWW ] [bibtex-key = Whitaker:2007] [bibtex-entry]


  236. Rozann Whitaker. Criticisms of the Analytic Hierarchy Process: Why they often make no sense. Mathematical and Computer Modelling, 46(7-8):948 - 961, October 2007. [WWW ] [bibtex-key = Whitaker:2007] [bibtex-entry]


  237. Diederik J.D. Wijnmalen. Analysis of benefits, opportunities, costs, and risks (BOCR) with the AHP-ANP: A critical validation. Mathematical and Computer Modelling, 46(7-8):892 - 905, October 2007. [WWW ] [bibtex-key = Wijnmalen:2007] [bibtex-entry]


  238. M. Williams, A. Dennis, A. Stam, and J. Aronson. The impact of DSS use and information load on errors and decision quality. European Journal of Operational Research, 176(1):468-481, January 2007. [WWW ] [bibtex-entry]


  239. Zhibin Wu and Yihua Chen. The maximizing deviation method for group multiple attribute decision making under linguistic environment. Fuzzy Sets and Systems, 158(14):1608 - 1617, July 2007. [WWW ] [bibtex-key = Wu:2007] [bibtex-entry]


  240. Weijun Xia and Zhiming Wu. Supplier selection with multiple criteria in volume discount environments. Omega, 35(5):494-504, October 2007. [WWW ] [bibtex-entry]


  241. S. Xiang and W. Yin. Stability Results for Efficient Solutions of Vector Optimization Problems. 134(3):385 - 398, September 2007. [WWW ] [bibtex-key = Xiang:2007] [bibtex-entry]


  242. Ze-Shui Xu and Jian Chen. An interactive method for fuzzy multiple attribute group decision making. Information Sciences, 177(1):248-263, January 2007. [WWW ] [bibtex-entry]


  243. Zeshui Xu. Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making. 6(2):109 - 121, June 2007. [WWW ] [bibtex-key = Xu:2007] [bibtex-entry]


  244. Lili Yang, Bryan F. Jones, and Shuang-Hua Yang. A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. European Journal of Operational Research, 181(2):903 - 915, September 2007. [WWW ] [bibtex-key = Yang:2007] [bibtex-entry]


  245. Taho Yang, Yiyo Kuo, and Chiwoon Cho. A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem. European Journal of Operational Research, 176(3):1859-1873, February 2007. [WWW ] [bibtex-entry]


  246. Jacob W. Yougbare and Jacques Teghem. Relationships between Pareto optimality in multi-objective 0-1 linear programming and DEA efficiency. European Journal of Operational Research, 183(2):608 - 617, December 2007. [WWW ] [bibtex-key = Yougbare:2007] [bibtex-entry]


  247. Jing-Rung Yu and Sheu-Ji Cheng. An integrated approach for deriving priorities in analytic network process. European Journal of Operational Research, 180(3):1427 - 1432, August 2007. [WWW ] [bibtex-key = Yu:2007] [bibtex-entry]


  248. Sedat Yuksel. An integrated forecasting approach to hotel demand. Mathematical and Computer Modelling, 46(7-8):1063 - 1070, October 2007. [WWW ] [bibtex-key = Yuksel:2007] [bibtex-entry]


  249. Peng Zhou and Liwei Fan. A note on multi-criteria ABC inventory classification using weighted linear optimization. European Journal of Operational Research, 182(3):1488 - 1491, November 2007. [WWW ] [bibtex-key = Zhou:2007] [bibtex-entry]


  250. Peng Zhou and Liwei Fan. A note on multi-criteria ABC inventory classification using weighted linear optimization. European Journal of Operational Research, 182(3):1488 - 1491, November 2007. [WWW ] [bibtex-key = Zhou:2007] [bibtex-entry]


  251. Peng Zhou and Liwei Fan. A note on multi-criteria ABC inventory classification using weighted linear optimization. European Journal of Operational Research, 182(3):1488 - 1491, November 2007. [WWW ] [bibtex-key = Zhou:2007] [bibtex-entry]


  252. Constantin Zopounidis and Michael Doumpos. Preface. 154(1):1 - 2, October 2007. [WWW ] [bibtex-key = Zopounidis:2007] [bibtex-entry]


  253. D. Brockhoff, T. Friedrich, N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler. Do Additional Objectives Make a Problem Harder?. In D. Thierens and others, editors, Genetic and Evolutionary Computation Conference (GECCO 2007), New York, NY, USA, pages 765--772, 2007. ACM Press. [WWW ] [bibtex-key = bfhk2007a] [bibtex-entry]


  254. D. Brockhoff and E. Zitzler. Improving Hypervolume-based Multiobjective Evolutionary Algorithms by Using Objective Reduction Methods. In Congress on Evolutionary Computation (CEC 2007), 2007.
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  256. Martin Josef Geiger. The Interactive Pareto Iterated Local Search (iPILS) Metaheuristic and its Application to the Biobjective Portfolio Optimization Problem. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM 2007), Hilton Hawaiian Village, Honolulu, Hawaii, USA, pages 193--199, April 2007.
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2006
  1. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 1, outils de modélisation. Hermès, 2006. [WWW ] [bibtex-entry]


  2. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 3, analyse multicritère. Hermès, 2006. [WWW ] [bibtex-entry]


  3. Denis Bouyssou, Didier Dubois, Marc Pirlot, and Henri Prade. Concepts et méthodes pour l'aide à la décision, volume 2, risque et incertain. Hermès, 2006. [WWW ] [bibtex-entry]


  4. Denis Bouyssou, Thierry Marchant, Marc Pirlot, Alexis Tsoukiàs, and Philippe Vincke. Evaluation and decision models with multiple criteria: Stepping stones for the analyst, International Series in Operations Research and Management Science, Volume 86. Boston, 1st edition, 2006. [WWW ] [bibtex-key = Bouyssouetal2006] [bibtex-entry]


  5. Ignacy Kaliszewski. Soft Computing for Complex Multiple Criteria Decision Making, volume 85 of International Series in Operations Research & Management Science. Springer, 2006. [WWW ] [bibtex-key = Kaliszewski2006] [bibtex-entry]


  6. A. Mateos, S. Ríos-Insua, A. Jiménez, and J. Fernández. Investigación Operativa: Ejercicios y Aplicaciones. Fundación General de la Universidad Politécnica de Madrid, Madrid, 2006. [WWW ] [bibtex-key = MateosRiosJimenezFernandez2006] [bibtex-entry]


  7. Imène Brigui. Une approche multi-agents pour les enchères multicritères à points de référence dans le commerce electronique. Thèse de doctorat, Université Paris-Dauphine, 2006. [bibtex-entry]


  8. Salem Chakhar. Cartographie décisionnelle multicritère :formalisation et implémentation informatique. Thèse de doctorat, Université Paris-Dauphine, 2006. [WWW ] [ ] [bibtex-entry]


  9. Mohamed Farah. Approche multicritère des problèmes de recherche documentaire. Thèse de doctorat, Université Paris-Dauphine, 2006. [bibtex-entry]


  10. Rim Kalai. Une nouvelle approche de robustesse, application à quelques problèmes d'optimisation. Thèse de doctorat, Université Paris-Dauphine, 2006. [bibtex-entry]


  11. Yannis Dimopoulos, Pavlos Moraitis, and Alexis Tsoukiàs. Decision Theory and Multi-Agent Planning, chapter Qualitative Preference Modelling in Constraint Satisfaction, pages 15-29. Springer Verlag, 2006. [bibtex-key = Tsoukias06inbook] [bibtex-entry]


  12. Alexis Tsoukiàs. Concepts et Méthodes pour l'Aide à la Décision, chapter De la théorie de la décision à l'aide à la décision, pages 25-69. Hermes, 2006. [bibtex-key = Tsoukias06inbook] [bibtex-entry]


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  122. A. Kangas, J. Kangas, R. Lahdelma, and P. Salminen. Using SMAA-2 method with dependent uncertainties for strategic forest planning. Forest Policy and Economics, 9:113-125, 2006. [bibtex-entry]


  123. Natalia Karelaia. Thirst for confirmation in multi-attribute choice: Does search for consistency impair decision performance?. Organizational Behavior and Human Decision Processes, 100(1):128-143, May 2006. [WWW ] [bibtex-key = Karelaia2006] [bibtex-entry]


  124. B Karimi, S M T Fatemi Ghomi, and J M Wilson. A tabu search heuristic for solving the CLSP with backlogging and set-up carry-over. Journal of the Operational Research Society, 57(2):140-147, February 2006. [WWW ] [bibtex-entry]


  125. Ralph L. Keeney, Kelly E. See, and Detlof von Winterfeldt. Evaluating Academic Programs: With Applications to U.S. Graduate Decision Science Programs. Operations Research, 54(5):813-828, September 2006. [WWW ] [bibtex-key = Keeneyetal2006] [bibtex-entry]


  126. B. Kim, E.S. Gel, J.W. Fowler, W.M. Carlyle, and J. Wallenius. Evaluation of nondominated solution sets for k-objective optimization problems: An exact method and approximations. European Journal of Operational Research, 173(2):565-582, September 2006. [WWW ] [bibtex-key = KimGelFowlerCarlyleWallenius2006] [bibtex-entry]


  127. B. Kim, E.S. Gel, J.W. Fowler, W.M. Carlyle, and J. Wallenius. Evaluation of nondominated solution sets for k-objective optimization problems: An exact method and approximations. European Journal of Operational Research, 173(2):565-582, September 2006. [WWW ] [bibtex-entry]


  128. J. Kim and S.K. Kim. A CHIM-based interactive Tchebycheff procedure for multiple objective decision making. Computers and Operations Research, 33(6):1557-1574, June 2006. [WWW ] [bibtex-key = KimKim2006] [bibtex-entry]


  129. D. S. Kim, S. J. Kim, and M. H. Kim. Optimality and Duality for a Class of Nondifferentiable Multiobjective Fractional Programming Problems. Journal Of Optimization Theory And Applications, 129(1):131-146, April 2006. [WWW ] [bibtex-entry]


  130. Jaehee Kim and Sheung-Kown Kim. A CHIM-based interactive Tchebycheff procedure for multiple objective decision making. Computers and Operations Research, 33(6):1557-1574, June 2006. [WWW ] [bibtex-entry]


  131. William K. Klimack and Jack M. Kloeber Jr.. Multiobjective Value Analysis of Army Basic Training. Decision Analysis, 3(1):50-58, 2006. [WWW ] [bibtex-entry]


  132. Vicki Knoblauch. Continuously Representable Paretian Quasi-Orders. Theory and Decision, 60(1):1 – 16, February 2006. [WWW ] [bibtex-entry]


  133. J. Knowles. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Transactions on Evolutionary Computation, 10(1):50 – 66, February 2006. [WWW ] [bibtex-entry]


  134. Elif Kongar and Surendra M. Gupta. Disassembly to order system under uncertainty. Omega, 34(6):550-561, December 2006. [WWW ] [bibtex-entry]


  135. P. Kouvelis and S. Sayin. Algorithm robust for the bicriteria discrete optimization problem. Annals of Operations Research, 147(1):71-85, October 2006. [WWW ] [bibtex-entry]


  136. Sadan Kulturel-Konak, Alice E. Smith, and Bryan A. Norman. Multi-objective tabu search using a multinomial probability mass function. European Journal of Operational Research, 169(3):918-931, March 2006. [WWW ] [bibtex-entry]


  137. Manoj Kumar, Prem Vrat, and Ravi Shankar. A fuzzy programming approach for vendor selection problem in a supply chain. International Journal of Production Economics, 101(2):273-285, June 2006. [WWW ] [bibtex-entry]


  138. M. Köksalan and E. Karasakal. An interactive approach for multiobjective decision making. Journal of the Operational Research Society, 57(5):532-540, May 2006. [WWW ] [bibtex-entry]


  139. Christophe Labreuche and Michel Grabisch. Generalized Choquet-like aggregation functions for handling bipolar scales. European Journal of Operational Research, 172(3):931-955, August 2006. [WWW ] [bibtex-entry]


  140. P. Lacomme, C. Prins, and M. Sevaux. A genetic algorithm for a bi-objective capacitated arc routing problem. Computers and Operations Research, 33(12):3473-3493, December 2006. [WWW ] [bibtex-entry]


  141. Risto Lahdelma, Simo Makkonen, and Pekka Salminen. Multivariate Gaussian criteria in SMAA. European Journal of Operational Research, 170(3), May 2006. [bibtex-key = LahdelmaMakkonenSalminen2006] [bibtex-entry]


  142. R. Lahdelma and P. Salminen. Classifying efficient alternatives in SMAA using cross confidence factors. European Journal of Operational Research, 170(1):228-240, April 2006. [WWW ] [bibtex-key = LahdelmaSalminen2006a] [bibtex-entry]


  143. R. Lahdelma and P. Salminen. Stochastic multicriteria acceptability analysis using the data envelopment model. European Journal of Operational Research, 170(1):241-252, April 2006. [WWW ] [bibtex-key = LahdelmaSalminen2006b] [bibtex-entry]


  144. G. Lai, C. Li, and K. Sycara. Efficient Multi-Attribute Negotiation with Incomplete Information. Group Decision and Negotiation, 15(5):511-528, September 2006. [WWW ] [bibtex-entry]


  145. S W Lam and L C Tang. Multiobjective vendor allocation in multiechelon inventory systems: a spreadsheet model. Journal of the Operational Research Society, 57(5):561-578, May 2006. [WWW ] [bibtex-entry]


  146. Marco Laumanns, Lothar Thiele, and Eckart Zitzler. An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method. European Journal of Operational Research, 169(3):932-942, March 2006. [WWW ] [bibtex-entry]


  147. F. Le Huédé, M. Grabisch, C. Labreuche, and P. Savéant. Integration and propagation of a multi-criteria decision making model in constraint programming. Journal of Heuristics, 12(4-5):329 – 346, September 2006. [WWW ] [bibtex-entry]


  148. F. Le Huédé, M. Grabisch, C. Labreuche, and P. Savéant. MCS - A new algorithm for multicriteria optimisation in constraint programming. Annals of Operations Research, 147(1):143-174, October 2006. [WWW ] [bibtex-entry]


  149. Marc Le Menestrel and Bertrand Lemaire. Ratio-Scale Measurement with Intransitivity or Incompleteness: The Homogeneous Case. Theory and Decision, 60(2-3):207 – 217, May 2006. [WWW ] [bibtex-entry]


  150. Younghwa Lee and Kenneth A. Kozar. Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach. Decision Support Systems, 42(3):1383-1401, December 2006. [WWW ] [bibtex-entry]


  151. L C Leung, K C Lam, and D Cao. Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process. Journal of the Operational Research Society, 57(6):682-691, June 2006. [WWW ] [bibtex-entry]


  152. S C H Leung, Y Wu, and K K Lai. A stochastic programming approach for multi-site aggregate production planning. Journal of the Operational Research Society, 57(2):123-132, February 2006. [WWW ] [bibtex-entry]


  153. S. Leung, Y. Wu, and K. Lai. Cross-border logistics with fleet management: A goal programming approach. Computers and Industrial Engineering, 50(3):263-272, July 2006. [WWW ] [bibtex-entry]


  154. Y. Leung, W.Z. Wu, and W.X. Zhang. Knowledge acquisition in incomplete information systems: A rough set approach. European Journal of Operational Research, 168(1):164-180, January 2006. [WWW ] [bibtex-key = LeungWuZhang2006] [bibtex-entry]


  155. X. Li, B. Zhang, and H. Li. Computing efficient solutions to fuzzy multiple objective linear programming problems. Fuzzy Sets and Systems, 157(10):1328-1332, May 2006. [WWW ] [bibtex-key = LiZhang2006] [bibtex-entry]


  156. T.F. Liang. Distribution planning decisions using interactive fuzzy multi-objective linear programming. Fuzzy Sets and Systems, 157(10):1303-1316, May 2006. [WWW ] [bibtex-key = Liang2006] [bibtex-entry]


  157. Gin-Shuh Liang and Ji-Feng Ding. Fuzzy MCDM based on the concept of -cut. Journal of Multi-Criteria Decision Analysis, 12(6):299-310, 2006. [WWW ] [bibtex-entry]


  158. M. Libura and Y. Nikulin. Stability and accuracy functions in multicriteria linear combinatorial optimization problems. Annals of Operations Research, 147(1):255-267, October 2006. [WWW ] [bibtex-entry]


  159. Churlzu Lim, J. Neil Bearden, and J. Cole Smith. Sequential Search with Multiattribute Options. Decision Analysis, 3(1):3-15, 2006. [WWW ] [bibtex-entry]


  160. C.K.Y. Lin and R.C.W. Kwok. Multi-objective metaheuristics for a location-routing problem with multiple use of vehicles on real data and simulated data. European Journal of Operational Research, 175(3):1833-1849, December 2006. [WWW ] [bibtex-key = LinKwok2006] [bibtex-entry]


  161. F.B. Losa and V. Belton. Combining MCDA and conflict analysis: an exploratory application of an integrated approach. Journal of the Operational Research Society, 57(5):510-525, May 2006. [WWW ] [bibtex-entry]


  162. C. Low, Y. Yip, and T.H. Wu. Modelling and heuristics of FMS scheduling with multiple objectives. Computers and Operations Research, 33(3):674-694, 2006. [WWW ] [bibtex-key = z158] [bibtex-entry]


  163. M J López-Baldovin, C Gutiérrez-Martin, and J Berbel. Multicriteria and multiperiod programming for scenario analysis in Guadalquivir river irrigated farming. Journal of the Operational Research Society, 57(5):499-509, May 2006. [WWW ] [bibtex-entry]


  164. P.C.H. Ma, K.C.C. Chan, Xin Yao, and D.K.Y. Chiu. An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Transactions on Evolutionary Computation, 10(3):296-314, June 2006. [WWW ] [bibtex-entry]


  165. J. Ma, Z.P. Fan, Y.P. Jiang, J.Y. Mao, and L. Ma. A method for repairing the inconsistency of fuzzy preference relations. Fuzzy Sets and Systems, 157(1):20-33, January 2006. [WWW ] [bibtex-key = MaFanJiangMaoMa2006] [bibtex-entry]


  166. Sebastian Maass. A Philosophical Foundation of Non-Additive Measure and Probability. Theory and Decision, 60(2-3):175 – 191, May 2006. [WWW ] [bibtex-entry]


  167. A. Mackenzie, M. Pidd, J. Rooksby, I. Sommerville, I. Warren, and M. Westcombe. Wisdom, decision support and paradigms of decision making. European Journal of Operational Research, 170(1):156-171, April 2006. [WWW ] [bibtex-key = MackenziePiddRooksbySommervilleWarrenWestcombe] [bibtex-entry]


  168. Elina Madetoja, Kaisa Miettinen, and Pasi Tarvainen. Issues Related to the Computer Realization of a Multidisciplinary and Multiobjective Optimization System. Engineering with Computers, 22:33--46, 2006. [bibtex-key = MadMie] [bibtex-entry]


  169. O. Mahesh and G. Srinivasan. Multi-objectives for incremental cell formation problem. Annals of Operations Research, 143(1):157 – 170, March 2006. [WWW ] [bibtex-entry]


  170. Jean-Marc Martel and Bernard Roy. Analyse de la signifiance de diverses procédures d'agrégation multicritère. INFOR, 43(3):191-214, 2006. [WWW ] [bibtex-entry]


  171. Mika Marttunen and Merja Suomalainen. Participatory and multiobjective development of watercourse regulation - creation of regulation alternatives from stakeholders' preferences. Journal of Multi-Criteria Decision Analysis, 13(1):29-49, 2006. [WWW ] [bibtex-entry]


  172. M.H. Masson and T. Denoeux. Inferring a possibility distribution from empirical data. Fuzzy Sets and Systems, 157(3):319-340, February 2006. [WWW ] [bibtex-key = MassonDenoeux2006] [bibtex-entry]


  173. A. Mateos, A. Jiménez, and S. Ríos-Insua. Monte Carlo simulation techniques for group decision making with incomplete information. European Journal of Operational Research, 174(3):1842-1864, November 2006. [WWW ] [bibtex-entry]


  174. A. Mateos, A. Jiménez, and S. Ríos-Insua. Monte Carlo Simulation Techniques for Group Decision-Making with Incomplete Information. European Journal of Operations Research, 174(3):1842-1864, 2006. [WWW ] [bibtex-key = MateosEJOR2006] [bibtex-entry]


  175. G. Mavrotas, D. Diakoulaki, and Y. Caloghirou. Project prioritization under policy restrictions: A combination of MCDA with 0–1 programming. European Journal of Operational Research, 171(1):296-308, May 2006. [WWW ] [bibtex-entry]


  176. G. Mavrotas and P. Trifillis. Multicriteria decision analysis with minimum information: combining DEA with MAVT. Computers and Operations Research, 33(8):2083-2098, August 2006. [WWW ] [bibtex-key = MavrotasTrifillis2006] [bibtex-entry]


  177. d John C. McCabe-Danste and Arkadii Slinko. Exploratory Analysis of Similarities between Social Choice Rules. Group Decision and Negotiation, 15(1):77 – 107, January 2006. [WWW ] [bibtex-entry]


  178. C. Meloni, D. Naso, and B. Turchiano. Setup coordination between two stages of a production system: A multi-objective evolutionary approach. Annals of Operations Research, 147(1):175-198, October 2006. [WWW ] [bibtex-entry]


  179. P. Meyer and M. Roubens. On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support. Fuzzy Sets and Systems, 157(7):927-938, April 2006. [WWW ] [bibtex-key = MeyerRoubens2006] [bibtex-entry]


  180. Kaisa Miettinen and Katja Kaario. Comparing graphic and symbolic classification in interactive multiobjective optimization. Journal of Multi-Criteria Decision Analysis, 12(6):321-335, 2006. [WWW ] [bibtex-entry]


  181. Kaisa Miettinen, Marko M. Mä,kelä, and Katja Kaario. Experiments with Classification-Based Scalarizing Functions in Interactive Multiobjective Optimization. European Journal of Operational Research, 175(2):931--947, 2006. [WWW ] [bibtex-key = MieMakKaa] [bibtex-entry]


  182. Kaisa Miettinen and Marko M. Mäkelä. Synchronous approach in interactive multiobjective optimization. European Journal of Operational Research, 170(3):909-922, March 2006. [WWW ] [bibtex-entry]


  183. P. Miranda, E.F. Combarro, and P. Gil. Extreme points of some families of non-additive measures. European Journal of Operational Research, 174(3):1865-1884, November 2006. [WWW ] [bibtex-entry]


  184. S.K. Mishra, S.Y. Wang, and K.K. Lai. Optimality and duality for a multi-objective programming problem involving generalized d-type-I and related n-set functions. European Journal of Operational Research, 173(2):405-418, September 2006. [WWW ] [bibtex-key = MishraWangLai2006] [bibtex-entry]


  185. V. Mousseau, L.C. Dias, and J. Figueira. Dealing with inconsistent judgments in multiple criteria sorting models. 4OR, 4(3):145-158, 2006. [WWW ] [ ]
    Abstract: Sorting models consist in assigning alternatives evaluated on several criteria to ordered categories. To implement such models it is necessary to set the values of the preference parameters used in the model. Rather than fixing the values of these parameters directly, a usual approach is to infer these values from assignment examples provided by the decision maker (DM), i.e., alternatives for which (s)he specifies a required category. However, assignment examples provided by DMs can be inconsistent, i.e., may not match the sorting model. In such situations, it is necessary to support the DMs in the resolution of this inconsistency. In this paper, we extend algorithms from Mousseau et al. 2003 that calculate different ways to remove assignment examples so that the information can be represented in the sorting model. The extension concerns the possibility to relax (rather than to delete) assignment examples. These algorithms incorporate information about the confidence attached to each assignment example, hence providing inconsistency resolutions that the DMs are most likely to accept.
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  186. J. Mustajoki, R.P. Hamalainen, and M. Lindstedt. Using intervals for global sensitivity and worst-case analyses in multiattribute value trees. European Journal of Operational Research, 174(1):278-292, October 2006. [WWW ] [bibtex-entry]


  187. M. Müller-Hannemann and K. Weihe. On the cardinality of the Pareto set in bicriteria shortest path problems. Annals of Operations Research, 147(1):269-286, October 2006. [WWW ] [bibtex-entry]


  188. T.D. Nielsen and J.Y. Jaffray. Dynamic decision making without expected utility: An operational approach. European Journal of Operational Research, 169(1):226-246, February 2006. [WWW ] [bibtex-key = NielsenJaffray2006] [bibtex-entry]


  189. M. Nowak. INSDECM: An interactive procedure for stochastic multicriteria decision problems. European Journal of Operational Research, 175(3):1413-1430, December 2006. [WWW ] [bibtex-entry]


  190. O. O.Belmokhtar and N. Aboun. Investissement pour la réalisation d'ouvrages de transport électrique. Planification par la méthode Electre III. Journal of Decision Systems, 15(4):361-388, 2006. [WWW ] [bibtex-entry]


  191. D.B. Ojha and R.N. Mukherjee. Some results on symmetric duality of multiobjective programmes with generalized (F,p) invexity. European Journal of Operational Research, 168(2):333-339, January 2006. [WWW ] [bibtex-key = OjhaMukherjee2006] [bibtex-entry]


  192. A.I. Olcer and J. Majumder. A case based decision support system for flooding crises onboard ships. Quality and Reliability Engineering International, 22(1):59-78, February 2006. [WWW ] [bibtex-entry]


  193. A.I. Olcer, C. Tuzcu, and O. Turan. An integrated multi-objective optimisation and fuzzy multi-attributive group decision-making technique for subdivision arrangement of Ro-Ro vessels. Applied Soft Computing, 6(3):221-243, March 2006. [WWW ] [bibtex-entry]


  194. D. Olson and D. Wu. Simulation of fuzzy multiattribute models for grey relationships. European Journal of Operational Research, 175(1):111-120, November 2006. [WWW ] [bibtex-entry]


  195. S. Opasanon and E. Miller-Hooks. Multicriteria adaptive paths in stochastic, time-varying networks. European Journal of Operational Research, 173(1):72-91, August 2006. [WWW ] [bibtex-key = OpasanonMiller-Hooks2006] [bibtex-entry]


  196. K.-M. Osei-Bryson. An action learning approach for assessing the consistency of pairwise comparison data. European Journal of Operational Research, 174(1):234-244, October 2006. [WWW ] [bibtex-entry]


  197. J Pacheco and R Martí. Tabu search for a multi-objective routing problem. Journal of the Operational Research Society, 57(1):29-37, January 2006. [WWW ] [bibtex-entry]


  198. J. Pappas. Biological taxonomic problem solving using fuzzy decision-making analytical tools. Fuzzy Sets and Systems, 157(12):1687-1703, June 2006. [WWW ] [bibtex-entry]


  199. Luis Paquete and Thomas Stützle. A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices. European Journal of Operational Research, 169(3):943-959, March 2006. [WWW ] [bibtex-entry]


  200. P. Perny, O. Spanjaard, and L.-X. Storme. A decision-theoretic approach to robust optimization in multivalued graphs. Annals of Operations Research, 147(1):317-341, October 2006. [WWW ] [bibtex-entry]


  201. J.C. Pomerol. Book review: Mutiple Criteria Decision Analysis - State of the Art Surveys. European Journal of Operational Research, 172(1):313-336, July 2006. [WWW ] [bibtex-key = Pomerol2006] [bibtex-entry]


  202. J.C. Pomerol. Book review: Mutiple Criteria Decision Analysis - State of the Art Surveys. European Journal of Operational Research, 172(1):366-367, July 2006. [WWW ] [bibtex-key = Pomerol2006] [bibtex-entry]


  203. Nicolae Popovici. Structure of efficient sets in lexicographic quasiconvex multicriteria optimization. Operations Research Letters, 34(2):142-148, March 2006. [WWW ] [bibtex-entry]


  204. C. Prins, C. Prodhon, and R. Calvo. Two-phase method and Lagrangian relaxation to solve the Bi-Objective Set Covering Problem. Annals of Operations Research, 147(1):23-41, October 2006. [WWW ] [bibtex-entry]


  205. T. Ralphs, M. Saltzman, and M. Wiecek. An improved algorithm for solving biobjective integer programs. Annals of Operations Research, 147(1):43-70, October 2006. [WWW ] [bibtex-entry]


  206. R. Ramanathan. Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process. Computers and Operations Research, 33(5):1289-1307, May 2006. [WWW ] [bibtex-key = Ramanathan2006] [bibtex-entry]


  207. R. Ramanathan. ABC inventory classification with multiple-criteria using weighted. Computers and Operations Research, 33(3):695-700, 2006. [WWW ] [bibtex-key = z156] [bibtex-entry]


  208. A. Rebai, B. Aouni, and J.-M. Martel. A multi-attribute method for choosing among potential alternatives with ordinal evaluation. European Journal of Operational Research, 174(1):360-373, October 2006. [WWW ] [bibtex-entry]


  209. Peter J. Regan. Professional Decision Modeling: Practitioner as Professor. Interfaces, 36(2):142 – 149, 2006. [bibtex-entry]


  210. J. Riera-Ledesma and J.-J. Salazar-González. Solving the asymmetric traveling purchaser problem. Annals of Operations Research, 144(1):83-97, April 2006. [WWW ] [bibtex-entry]


  211. Emma Rollón and Javier Larrosa. Bucket elimination for multiobjective optimization problems. Journal of Heuristics, 12(4-5):307 – 328, September 2006. [WWW ] [bibtex-entry]


  212. M. Roubens, A. Rusinowska, and H. de Swart. Using MACBETH to determine utilities of governments to parties in coalition formation. European Journal of Operational Research, 172(2):588-603, July 2006. [WWW ] [bibtex-key = RoubensRusinowskade-Swart2006] [bibtex-entry]


  213. Bernard Roy. Regard historique sur la place de la recherche opérationnelle et de l'aide à la décision en France. Mathématiques et Sciences Humaines, 175:25-40, 2006. [WWW ] [bibtex-entry]


  214. B. Roy and R. Slowinski. Multi-criteria assignment problem with incompatibility and capacity constraints. Annals of Operations Research, 147(1):287-316, October 2006. [WWW ] [bibtex-entry]


  215. Yann Rébillé. Decision making over necessity measures through the Choquet integral criterion. Fuzzy Sets and Systems, 157(23):3025-3039, December 2006. [WWW ] [bibtex-entry]


  216. S. Ríos-Insua, E. Gallego, A. Jiménez, and A. Mateos. A Multi-Attribute Decision Support System for Selecting Environmental Intervention Strategies. Ecological Modelling, 196(1-2):195-208, 2006. [WWW ] [bibtex-key = RiosEcol2006] [bibtex-entry]


  217. T.L. Saaty. Rank from comparisons and from ratings in the analytic hierarchy/network processes. European Journal of Operational Research, 168(2):557-570, January 2006. [WWW ] [bibtex-key = Saaty2006] [bibtex-entry]


  218. P.H. Sach. Hartley Proper Efficiency in Multiobjective Optimization Problems with Locally Lipschitz Set-valued Objectives and Constraints. Journal of Global Optimization, 35(1):1-26, May 2006. [WWW ] [bibtex-key = Sach2006] [bibtex-entry]


  219. Ralph Scheubrein and Stanley Zionts. A problem structuring front end for a multiple criteria decision support system. Computers and Operations Research, 33(1):18-31, January 2006. [WWW ] [bibtex-key = ScheubreinZionts2006] [bibtex-entry]


  220. David Schuff, Ozgur Turetken, and John D'Arcy. A multi-attribute, multi-weight clustering approach to managing e-mail overload. Decision Support Systems, 42(3):1350-1365, December 2006. [WWW ] [bibtex-entry]


  221. Anne Setämaa-Kärkkäinen, Kaisa Miettinen, and Jarkko Vuori. Best Compromise Solution for a New Multiobjective Scheduling Problem. Computers and Operations Research, 33:2353--2368, 2006. [WWW ] [bibtex-key = Miet06b] [bibtex-entry]


  222. P. Sevastjanov and P. Rog. Two-objective method for crisp and fuzzy interval comparison in optimization. Computers and Operations Research, 33(1):115-131, January 2006. [WWW ] [bibtex-key = SevastjanovRog2006] [bibtex-entry]


  223. R. E. Steuer, Y. Qi, and M. Hirschberger. Portfolio Optimization: New Capabilities and Future Methods. Zeitschrift für Betriebswirtschaft, 76(2):199-219, 2006. [bibtex-key = sqh06c] [bibtex-entry]


  224. T. Sueyoshi. DEA-Discriminant Analysis: Methodological comparison among eight discriminant analysis approaches. European Journal of Operational Research, 169(1):247-272, February 2006. [WWW ] [bibtex-key = Sueyoshi2006] [bibtex-entry]


  225. B. Suman and P. Kumar. – A survey of simulated annealing as a tool for single and multiobjective optimization. Journal of the Operational Research Society, 57(10):1143-1160, October 2006. [WWW ] [bibtex-entry]


  226. L. Sun and B. S. Greenberg. Multicriteria Group Decision Making: Optimal Priority Synthesis from Pairwise Comparisons. Journal Of Optimization Theory And Applications, 130(2):317-339, August 2006. [WWW ] [bibtex-entry]


  227. K.C. Tan, Y.H. Chew, and L.H. Lee. A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems. European Journal of Operational Research, 172(3):855-885, August 2006. [WWW ] [bibtex-entry]


  228. K.C. Tan, C.K. Goh, Y.J. Yang, and T.H. Lee. Evolving better population distribution and exploration in evolutionary multi-objective optimization. European Journal of Operational Research, 171(2):463-495, June 2006. [WWW ] [bibtex-entry]


  229. K.C. Tan, Y.J. Yang, and C.K. Goh. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 10(5):527-549, October 2006. [WWW ] [bibtex-entry]


  230. Jeffrey E. Teich, Hannele Wallenius, Jyrki Wallenius, and Alexander Zaitsev. A multi-attribute e-auction mechanism for procurement: Theoretical foundations. European Journal of Operational Research, 175(1):90-100, November 2006. [WWW ] [bibtex-entry]


  231. T. Tsabadze. A method for fuzzy aggregation based on group expert evaluations. Fuzzy Sets and Systems, 157(10):1346-1361, May 2006. [WWW ] [bibtex-key = Tsabadze2006] [bibtex-entry]


  232. I. Tsetlin and R. Winkler. On Equivalent Target-Oriented Formulations for Multiattribute Utility. Decision Analysis, 3(2):94-99, 2006. [WWW ] [bibtex-entry]


  233. I. Tsetlin. A Method for Eliciting Utilities and its Application to Collective Choice. Theory and Decision, 61(1):51-62, August 2006. [WWW ] [bibtex-entry]


  234. Tapio Tyni and Jari Ylinen. Evolutionary bi-objective optimisation in the elevator car routing problem. European Journal of Operational Research, 169(3):960-977, March 2006. [WWW ] [bibtex-entry]


  235. O.S. Vaidya and S. Kumar. Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1):1-29, February 2006. [WWW ] [bibtex-key = VaidyaKumar2006] [bibtex-entry]


  236. M. Villalobos-Arias, C. Coello Coello, and O. Hernández-Lerma. Asymptotic convergence of a simulated annealing algorithm for multiobjective optimization problems. Mathematical Methods of Operations Research, 64(2):353-362, 2006. [bibtex-entry]


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    Abstract: We present a new method (called UTAGMS) for multiple criteria ranking using strongly and weakly established weak preference relations which result from an ordinal regression. The preference information supplied by the decision maker is a set of pairwise comparisons of reference alternatives. The preference model built via ordinal regression is a set of general additive value functions. The method provides two final rankings: a strong ranking identifying ''sure'' preference statements, and a weak ranking identifying ''possible'' preference statements. In order to build these two rankings, the method takes into account all value functions compatible with the preference information. The UTAGMS method is intended to be used interactively, with progressive statement of pairwise comparisons. Moreover, the method can support the decision maker also when his/her preference statements cannot be represented in terms of an additive value function. The method is illustrated by an example solved using the UTAGMS software. Some extensions of the method are also presented
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  105. V. Mousseau and L.C. Dias. Valued outranking relations in ELECTRE providing manageable disaggregation procedures. European Journal of Operational Research, 156(2):467-482, 2004. [WWW ] [ ]
    Abstract: In ELECTRE methods, the construction of an outranking relation amounts at validating or invalidating, for any pair of alternatives (a,b), the assertion "a is at least as good as b". This comparison is grounded on the evaluation vectors of both alternatives, and on additional information concerning the decision maker's preferences, accounting for two conditions: concordance and non-discordance. In decision processes using these methods, the analyst should interact with the decision maker in order to elicit values for preferential parameters. This can be done either directly or through a disaggregation procedure that infers the parameters values from holistic judgements provided by the decision maker. Inference is usually performed through an optimization program that accounts for the aggregation model and minimizes an "error function". Although disaggregation approaches have been largely used in additive models, only few advances have been made towards a disaggregation approach for outranking methods. Indeed, outranking methods may lead to computationally difficult inference problems. In this paper we are concerned with a slight adaptation of the valued outranking relation used in the ELECTRE III and ELECTRE TRI. Such modification is shown to preserve the original discordance concept. We show that the modified outranking relation makes it easier to solve inference programs.
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    Abstract: Some decision problems can be formulated as sorting models which consist in assigning alternatives evaluated on several criteria to ordered categories. The implementation of a multiple criteria sorting model requires to set the values of the preference parameters used in the model. Rather than fixing directly the values of these parameters, an usual approach is to infer these values from assignment examples provided by the decision maker (DM), i.e., alternatives for which he/she specifies a required category or interval of acceptable categories. However, the judgments expressed by DMs through assignment examples can be inconsistent, i.e., may not match the sorting model. In such situations, it is necessary to support the DMs in the resolution of this inconsistency. In this paper, we propose algorithms that calculate different ways to modify the set of assignment examples so that the information can be represented in the sorting model. The modifications considered are either the removal of examples or the relaxation of existing assignments. These algorithms incorporate information about the confidence attached by the DMs to each assignment example. These algorithms aim at finding and ranking the solutions to solve inconsistency that the DMs are most likely to accept.
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    Abstract: Some decision problems can be formulated as sorting models which consist in assigning alternatives evaluated on several criteria to ordered categories. The implementation of a multiple criteria sorting model requires to set the values of the preference parameters used in the model. Rather than fixing directly the values of these parameters, an usual approach is to infer these values from assignment examples provided by the decision maker (DM), i.e., alternatives for which he/she specifies a required category or interval of acceptable categories. \\ However, the judgments expressed by DMs through assignment examples can be inconsistent, i.e., may not match the sorting model. In such situations, it is necessary to support the DMs in the resolution of this inconsistency. In this paper, we propose algorithms that calculate different ways to modify the set of assignment examples so that the information can be represented in the sorting model. The modifications considered are either the removal of examples or the relaxation of existing assignments. These algorithms incorporate information about the confidence attached by the DMs to each assignment example. These algorithms aim at finding and ranking the solutions to solve inconsistency that the DMs are most likely to accept.
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2003
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    Abstract: A successful application of the interactive multiobjective optimization method NIMBUS to a design problem in papermaking technology is described. Namely, an optimal shape design problem related to the paper machine headbox is studied. First, the NIMBUS method, the numerical headbox model, and the associated multiobjective optimization problem are described. Then, the results of numerical experiments are presented
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  68. R.P. Hamalainen. Decisionarium - Aiding Decisions, Negotiating and Collecting Opinions on the Web. Journal of Multi-Criteria Decision Analysis, 12(2-3):101-110, 2003. [WWW ] [bibtex-key = hamalainen2003] [bibtex-entry]


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    Abstract: In this paper, sufficient conditions for superstrict minima of order m to nondifferentiable multiobjective optimization problems with an arbitrary feasible set are provided. These conditions are expressed through the Studniarski derivative of higher order. If the objective function is Hadamard differentiable, a characterization for strict minimality of order 1 (which coincides with superstrict minimality in this case) is obtained
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  95. P. Lenca, P. Meyer, P. Picouet, and B. Vaillant. Aide multicritère à la décision pour évaluer les indices de qualité des connaissances. RSTI-RIA, Revue des Sciences et Technologies de l'Information, 17/2003:271-282, 2003. [bibtex-key = ewg2003-23] [bibtex-entry]


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  103. L. Mandow and J.L. Pérez de la Cruz. Multicriteria Heuristic Search. European Journal of Operational Research, 150(2):253-280, 2003. [bibtex-key = MandP03] [bibtex-entry]


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  105. Th. Marchant. Towards a theory of MCDM: stepping away from social choice theory. Mathematical Social Sciences, 45:343-363, 2003. [bibtex-key = Marchant03] [bibtex-entry]


  106. J.R. Marsden and S. Mathiyalakan. An investigation of changes in attitude over time of GDSS groups under unanimity and majority decision rules. European Journal of Operational Research, 145(3):693-712, 2003. [bibtex-key = ewg2003-24] [bibtex-entry]


  107. L. Martins, J. Craveirinha, J. Clìmaco, and T. Gomes. Implementation and performance of a new multiple objective dynamic routing method for multiexchange networks. Journal of Telecommunications and Information Technologies, 3/2003:60-66, 2003.
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  108. A. Mateos, A. Jiménez, and S. Ríos-Insua. Modelling individual and global comparisons for multi-attribute preferences. Journal of Multicriteria Decision Analysis, 13:117-190, 2003. [WWW ] [bibtex-key = MateosJMDA2003] [bibtex-entry]


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  115. J. Mingers. A classification of the philosophical assumptions of management science methods. Journal of the Operational Research Society, 54:559-570, 2003. [bibtex-key = Mingers03] [bibtex-entry]


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  118. V. Mousseau, L.C. Dias, J. Figueira, C. Gomes, and J.N. Clìmaco. Resolving inconsistencies among constraints on the parameters of an MCDA model. European Journal of Operational Research, 147(1):72-93, 2003. [WWW ] [ ]
    Abstract: "We consider a framework where Decision Makers (DMs) interactively define a multicriteria evaluation model by providing imprecise information (i.e., a linear system of constraints to the model's parameters) and by analyzing the consequences of the information provided. DMs may introduce new constraints explicitly or implicitly (results that the model should yield). If a new constraint is incompatible with the previous ones, then the system becomes inconsistent and the DMs must choose between removing the new constraint or removing some of the older ones. We address the problem of identifying subsets of constraints which, when removed, lead to a consistent system. Identifying such subsets would indicate the reason for the inconsistent information given by DMs. There may exist several possibilities for the DMs to resolve the inconsistency. We present two algorithms to identify such possibilities, one using 0-1 programming and the other one using linear programming. Both approaches are based on the knowledge that the system was consistent prior to introducing the last constraint. The output of these algorithms helps the DM to identify the conflicting pieces of information in a set of statements he/she asserted. The relevance of these algorithms for MCDA is illustrated by an application to an aggregation/disaggregation procedure for the Electre Tri method."
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  129. T.L. Saaty and M.S. Ozdemir. Negative Priorities in the Analytic Hierarchy process. Mathematical and Computer Modelling, 37:1063-1075, 2003. [bibtex-key = Saaty2003] [bibtex-entry]


  130. T.L. Saaty and M.S. Ozdemir. Why the Magic Number Seven Plus or Minus two. Mathematical and Computer Modelling, 38:233-244, 2003. [bibtex-key = Saaty2003a] [bibtex-entry]


  131. T. L. Saaty. Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research, 145(1):85-91, 2003. [bibtex-key = ewg2003-26] [bibtex-entry]


  132. M. Sakawa, K. Kato, and I. Nishizaki. An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems through an expectation model. European Journal of Operational Research, 145(3):665-672, 2003. [bibtex-key = ewg2003-27] [bibtex-entry]


  133. S. Sayin. A Procedure to Find Discrete Representations of the Efficient Set with Specified Coverage Errors. Operations Research, 51:427-436, 2003. [bibtex-key = sayin03] [bibtex-entry]


  134. L.E. Shirland, R.R. Jesse, R.L. Thompson, and C.L. Iacovou. Determining attribute weights using mathematical programming. Omega, 31(6):423-437, December 2003. [WWW ] [bibtex-key = add-2004-29] [bibtex-entry]


  135. P. Singh and P. K. Saxena. The multiple objective time transportation problem with additional restrictions. European Journal of Operational Research, 146(3):460-476, 2003. [bibtex-key = ewg2003-28] [bibtex-entry]


  136. A.J.V. Skriver and K.A. Andersen. The bicriterion semi-obnoxious location (BSL) problem solved by an e-approximation. European Journal of Operational Research, 146(3):517-528, 2003. [bibtex-key = ewg2003-29] [bibtex-entry]


  137. A. Stam and A.P.D. Silva. On muliplicative priority rating methods for the AHP. European Journal of Operational Research, 145(1):92-108, 2003. [bibtex-key = ewg2003-30] [bibtex-entry]


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  140. I.M. Stancu-Minasian and B. Pop. On a fuzzy set approach to solving multiple objective linear fractional programming problem. Fuzzy Sets and Systems, 134(3):397-405, March 2003. [WWW ] [bibtex-key = add-2004-39] [bibtex-entry]


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  142. T. Stewart and F.B. Losa. Towards reconciling outranking and value measurement practice. European Journal of Operational Research, 145:645--659, 2003. [bibtex-key = s:ejor03] [bibtex-entry]


  143. S.K. Suneja, C.S. Lalitha, and S. Khurana. Second order symmetric duality in multiobjective programming. European Journal of Operational Research, 144(3):492-500, 2003. [bibtex-key = ewg2003-32] [bibtex-entry]


  144. Jari Toivanen, Jari Hämäläinen, Kaisa Miettinen, and Pasi Tarvainen. Designing Paper Machine Headbox Using GA. Materials and Manufacturing Processes, 18:533--541, 2003. [bibtex-key = Miet03b] [bibtex-entry]


  145. M Tsay. Applying the multiobjective approach for operation strategy of cogeneration systems under environmental constraints. International Journal of Electrical Power & Energy Systems, 25(3):219-226, 2003. [bibtex-key = Ts03] [bibtex-entry]


  146. A. Tsoukiàs and Ph. Vincke. A characterization of PQI interval orders. Discrete Applied Mathematics, 127(2):387-397, 2003. [WWW ]
    Abstract: We provide an answer to an open problem concerning the representation of preferences by intervals. Given a finite set of elements and three relations on this set (indifference, weak preference and strict preference), necessary and sufficient conditions are provided for representing the elements of the set by intervals in such a way that (1) two elements are indifferent when the interval associated to one of them is included in the interval associated to the other; (2) an element is weakly preferred to another when the interval of the first is "more to the right" than the interval of the other, but the two intervals have a non-empty intersection; (3) an element is strictly preferred to another when the interval of the first is "more to the right" than the interval of the other and their intersection is empty
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  147. W. Ulrich. Beyond methodology choice: critical systems thinking as critically systemic discource. Journal of the Operational Research Society, 54:325-342, 2003. [bibtex-key = Ulrich03] [bibtex-entry]


  148. O. Uran and R. Janssen. Why are spatial decision support systems not used? Some experiences from the Netherlands. Computers, Environment and Urban Systems, 27:Article in Press, 2003. [bibtex-key = Hyde218] [bibtex-entry]


  149. J. Wang and Y.-I. Lin. A fuzzy multicriteria group decision making approach to select configuration items for software development. Fuzzy Sets and Systems, 134(3):343-363, March 2003. [WWW ] [bibtex-key = add-2004-40] [bibtex-entry]


  150. S. Xu, L.D. Xu, and X. Chen. Determining optimum edible films for kiwifruits using an analytical hierarchy process. Computers and Operations Research, 30(6):877-886, 2003. [bibtex-key = ewg2003-34] [bibtex-entry]


  151. D. L. Xu and J. B. Yang. Intelligent decision system for self-assessment. Journal of Multiple Criteria Decision Analysis, 12:43-60, 2003. [WWW ] [bibtex-entry]


  152. T. Yang and C. Kuo. A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operational Research, 147(1):128-136, 2003. [bibtex-key = ewg2003-35] [bibtex-entry]


  153. C.H. Yeh and Y.L. Kuo. Validating fuzzy multicriteria analysis using fuzzy clustering. International Journal of Operations and Quantitative Management, 9(3):161-175, September 2003. [bibtex-key = Yeh4Ijoqm03] [bibtex-entry]


  154. C.H. Yeh and Y.L. Kuo. Evaluating passenger services of Asia-Pacific international airports. Transportation Research Part E: Logistics and Transportation Review, 39(1):35-48, January 2003. [WWW ] [bibtex-key = Yeh4Tre03] [bibtex-entry]


  155. C.H. Yeh. The selection of multiattribute decision making methods for scholarship student selection. International Journal of Selection and Assessment, 11(4):289-296, December 2003. [bibtex-key = Yeh4Ijsa03] [bibtex-entry]


  156. E. Zitzler, L. Thiele, M. Laumanns, C. M. Foneseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, 7(2):117--132, 2003. [bibtex-key = ztlf2003a] [bibtex-entry]


  157. M.A. Aloulou, M.Y. Kovalyov, and M.C. Portmann. Worst case performance evaluation of flexible solutions in single machine scheduling. In Proceedings of Computing Engineering in Systems Applications -- CESA'2003, Lille, pages in CD-ROM, 2003. [bibtex-key = aloulouCESA] [bibtex-entry]


  158. M.A. Aloulou and M.C. Portmann. An efficient proactive-reactive scheduling approach to hedge against shop floor disturbances. In Proceedings of MISTA'2003, volume 1, Nottingham, pages 337--362, August 2003.
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  159. C. Bazgan, S. Tuza, and D. Vanderpooten. On the existence and determination of satisfactory partitions in a graph. In International Symposium on Algorithms and Computation, ISAAC 2003, pages 444--453, 2003.
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  160. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler. PISA --- A Platform and Programming Language Independent Interface for Search Algorithms. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2003), volume 2632 of Lecture Notes in Computer Science, Berlin, pages 494--508, 2003. Springer. [WWW ] [bibtex-key = bltz2003a] [bibtex-entry]


  161. Kim Cao-Van and Bernard De Baets. Consistent Representation of Rankings. In Theory and Applications of Relational Structures as Knowledge Instruments, pages 107-123, 2003. [WWW ] [bibtex-key = DBLP:conf/RelMiCS/Cao-VanB03] [bibtex-entry]


  162. M. Ehrgott and X. Gandibleux. Multiple Objective Combinatorial Optimization -- A Tutorial. In T. Tanino, T. Tanaka, and M. Inuiguchi, editors, Multi-Objective Programming and Goal-Programming, pages 3-18, 2003. Springer Verlag, Berlin. [bibtex-key = MEXGNara] [bibtex-entry]


  163. S.C. Erbas. Utilizing Evolutionary Algorithms for Multiobjective Problems in Traffic Engineering. In W. Ben-Amur and A. Petrowski, editors, Proceedings of the International Networks Optimisation Conference INOC 2003, Evry, October 2003, pages 207-212, 2003. Institut National des Telecommunications, Evry, France. [bibtex-key = Erbas03a] [bibtex-entry]


  164. S.C. Erbas and C. Erbas. A Multiobjective Off-line Routing Model for MPLS Networks. In J. Charzinski, R. Lehnert, and P. Tran-Gia, editors, Proceedings of the 18th International Teletraffic Congress -- ITC 18, Berlin, pages 471-480, 2003. Elsevier, Amsterdam. [bibtex-key = Erbas03] [bibtex-entry]


  165. S. Greco, B. Matarazzo, and R. Slowinski. The axiomatic basis of Sugeno integral and associative aggregation operator. In 4th International Workshop on Preferences and Decisions, Trento, Italy, pages 33-38, September 2003. [bibtex-key = grmasl03] [bibtex-entry]


  166. E. Grigoroudis and Y. Siskos. MUSA: A decision support system for evaluating and analysing customer satisfaction. In K. Margaritis and I. Pitas, editors, Proceedings of the 9th Panhellenic Conference in Informatics, Thessaloniki, Greece, pages 113--127, 2003. [bibtex-key = grigoroudis3] [bibtex-entry]


  167. B.J. Hunt and M.M. Wiecek. Cones to aid decision making in multicriteria programming. In T. Tanino, T. Tanaka, and M. Inuiguchi, editors, Multi-Objective Programming and Goal Programming, pages 153-158, 2003. Springer Verlag, Berlin. [bibtex-key = hunt03] [bibtex-entry]


  168. A. Jiménez, S. Ríos-Insua, and A. Mateos. Monte-Carlo simulation techniques in a multi-attribute decision support system. In M. H. Hamza, editor, Proceedings of the 12th IASTED International Conference on Applied Simulation and Modelling, pages 85-90, September 2003. ACTA Press. [bibtex-key = JimenezASM2003] [bibtex-entry]


  169. R.R. Joseph, P. Chan, M. Hiroux, and G. Weil. Preference constraints: new global soft constraints dedicated to preference binary relations. In A.M. Frisch, editor, Proceedings of the 2nd International Workshop on Modelling and Reformulating Constraint Satisfaction Problems: Towards Systematisation and Automatisation, Kinsale, Ireland, pages 104-109, 2003. [WWW ]
    Abstract: In this article, we propose a new soft constraint called preference constraint, squaring well with the decision theory concept of preference binary relation. We show how to use it for designing complex hierarchical preference information based on preference binary relations for combinatorial problems. Finally, preference-based constraint systems are defined and associated best quality choice problems are introduced. This new model offers greater flexibility to represent and make complex decisions with computers
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  170. A.C. Kakas and P. Moraï tis. Argumentation based decision making for autonomous agents. In Proceedings of AAMAS03, pages 883-890, 2003. ACM Press, New York. [bibtex-key = kakasmoraitis03] [bibtex-entry]


  171. Ch. Labreuche and M. Grabisch. Bi-cooperative games and their importance and interaction indices. In R. Bisdorff, editor, 14th Mini-EURO Conference on Human Centered Processes (HCP'2003), Luxembourg, pages 287-291, May 2003. [bibtex-key = lagr03a] [bibtex-entry]


  172. F. Le Huédé, M. Grabisch, C. Labreuche, and P. Savéant. Guidage d'une recherche multicritère en programmation par contraintes. In Actes des 5e journées de l'association française de Recherche Opérationnelle et d'Aide à la Décision, Avignon, France, 2003. [bibtex-entry]


  173. F. Le Huédé, M. Grabisch, C. Labreuche, and P. Savéant. Multicriteria search in constraint programming. In Proceedings of the 5th International Workshop on Integration of AI and OR techniques in Constraint Programming for Combinatorial Optimisation Problems, Montreal, Canada, 2003. [bibtex-entry]


  174. N.F. Matsatsinis and P. Delias. AgentAllocator: An Agent-Based Multi-Criteria Decision Support System for Task Allocation. In V. Marik, D. McFarlane, and P. Valckenaers, editors, Holonic and Multi-Agent Systems for Manufacturing, volume 2744 of Lecture Notes in Computer Science, pages 225-235, 2003. Springer Verlag. [bibtex-key = 83] [bibtex-entry]


  175. Kaisa Miettinen. Graphical Illustration of Pareto Optimal Solutions. In T. Tanino, T. Tanaka, and M. Inuiguchi, editors, Multi-Objective Programming and Goal Programming: Theory and Applications, Berlin, Heidelberg, pages 197--202, 2003. Springer-Verlag. [bibtex-key = miet:grap:2003] [bibtex-entry]


  176. P. Miranda and M. Grabisch. p-symmetric bi-capacities. In International Summer School on Aggregation Operators and their Applications, Alcala, Spain, pages 123-129, July 2003. [bibtex-key = migr03] [bibtex-entry]


  177. G. Munda and M. Nardo. Mathematical modelling of composite indicators for ranking countries. In Proceedings of the First OECD/JRC Workshop on Composite Indicators of Country Performance, JRC, Ispra, 2003. [WWW ] [bibtex-key = MundaNardo2003] [bibtex-entry]


  178. M. Papadrakakis, N.D. Lagaros, and V. Sevastyanov. A New Visualization Method of Multidimensional Numerical Models for Structural Optimization. In K.J. Bathe, editor, Proceedings of Second MIT Conference on Computational Fluid and Solid Mechanics, 2003. Elsevier, Amsterdam. [bibtex-key = 99] [bibtex-entry]


  179. P. Perny and O. Spanjaard. An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios. In Proceedings of the 19th conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, pages 469-476, 2003. [bibtex-key = PernySpanjaardUAI03] [bibtex-entry]


  180. A. Rolland. Apport d'un point de référence pour l'agrégation de préférence. In In actes de Ecole d'Automne de Recherche Opérationnelle, 2003. [bibtex-entry]


  181. J. P. Santos, J. F. Oliveira, M. A. Carravilla, and C. Costa. A Decision Support System for the Assessment of Higher Education Degrees in Portugal. In European Sociaty for Engineering Education, SEFI2003 -- Global Engineer: Education and Training for Mobility, Porto, Portugal, September 2003. [bibtex-key = jps2003] [bibtex-entry]


  182. A. O. Kazakci and A. Tsoukiàs. Designing or Planning? - Cognitive foundations for design aiding. Cahier du Lamsade No 214, Université Paris Dauphine, 2003. [bibtex-key = KazakciTsoukias03] [bibtex-entry]


  183. Ch. Labreuche and M. Grabisch. The Shapley value and the interaction indices for bi-cooperative games. Technical report 2003/001, Laboratoire d'Informatique de Paris 6, Université Pierre et Marie Curie, 2003. [WWW ] [bibtex-key = lagr03c] [bibtex-entry]


  184. M. Laumanns, L. Thiele, and E. Zitzler. Running Time Analysis of Evolutionary Algorithms on Vector-Valued Pseudo-Boolean Functions. Technical report 165, Computer Engineering and Networks Laboratory, ETH Zurich, May 2003. [bibtex-key = ltz2003d] [bibtex-entry]


  185. V. Mousseau, L.C. Dias, and J. Figueira. On the Notion of Category Size in Multiple Criteria Sorting Models. Dimacs Research Report 2003-02, Rutgers Univerity, January 2003. [WWW ] [ ]
    Abstract: "We consider the Multiple Criteria Sorting Problem, that aims at assigning each alternative in a finite set $A$ to one of the predefined categories. We propose a new concept of category size that refers to the proportion by which an evaluation vector corresponding to a realistic alternative is assigned to the category. Sorting problems usually refer to absolute evaluation (the assignment of an alternative does not depend on the others), as opposed to ranking and choice problems in which the very purpose is to compare alternatives against each other. Considering constraints concerning category size lead to define a Constrained Sorting Problem which refers both to absolute and relative evaluation. After identifying decision situations in which category size is useful for modelling purposes, this paper defines the concept of category size and proposes a way to compute the size of categories, even when the set of alternatives and/or the preference information is/are imprecisely known. We show how this notion can be used in a preference elicitation process. Finally, in order to illustrate the use of this concept, we propose a procedure to infer the values for preference parameters that accounts for specifications (provided by the DM) about the size of categories, in the context of the UTADIS sorting model."
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  186. J. Nurminen. Models and Algorithms for Network Planning Tool -- Pratical Experiences. Technical report E14, Helsinki University of Technology, 2003. [bibtex-key = Nurminen03] [bibtex-entry]


  187. J. Nurminen. Models and Algorithms for Network Planning Tool -- Pratical Experiences. Technical report E14, Helsinki University of Technology, 2003. [bibtex-key = Nurminen03] [bibtex-entry]


  188. OECD. Composite indicators of country performance: A critical assessment. DST/IND(2003)5, OECD, Paris, 2003. [bibtex-key = OECD2003] [bibtex-entry]


  189. M. Oztürk, A. Tsoukiàs, and Ph. Vincke. Preference Modelling. Technical report 2003-34, DIMACS, Rutgers University, 2003.
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  190. S. Ruzika and M.M. Wiecek. A survey of approximation methods in multiobjective programming. Technical report 90, Department of Mathematics, University of Kaiserslautern, 2003. [bibtex-key = ruwi03] [bibtex-entry]


  191. A. Tsoukiàs. On the concept of decision aiding process. Technical report 2003-38, DIMACS, Rutgers University, 2003. [bibtex-key = Tsoukias03b] [bibtex-entry]


  192. A. Tsoukiàs. From decision theory to decision aiding methodology. Technical report 2003-21, DIMACS, Rutgers University, 2003.
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  193. R. E. Steuer. ADBASE: A Multiple Objective Linear Programming Solver for All Efficient Extreme Points and All Unbounded Efficient Edges. Terry College of Business, University of Georgia, Athens, 2003. [bibtex-key = steuer03a] [bibtex-entry]


  194. R. E. Steuer and C. Piercy. A regression model for the number of efficient extreme points in multiple objective linear programming. Terry College of Business, University of Georgia, Athens, 2003. [bibtex-key = sp03] [bibtex-entry]


  195. R. E. Steuer and Y. Qi. Efficient frontier sensitivity and the case for multiple objectives in portfolio optimization. Terry College of Business, University of Georgia, Athens, 2003. [bibtex-key = sq03] [bibtex-entry]


  196. E. Capurso and A. Tsoukiàs. Decision Aiding and Psychotherapy, 2003.
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  197. H.W. Hamacher, H. Hennes, J. Kalcsics, and S. Nickel. LoLA -- Library of Location Algorithms, Version 2.1, 2003.
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  198. P. Moraïtis and A. Tsoukiàs. Decision Aiding and Argumentation, 2003.
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2002
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  6. J.P. Brans and B. Mareschal. PROMETHEE-GAIA. Une Méthodologie d'Aide à la Décision en Présence de Critères Multiples. Ellipses, Paris, France, 2002. [bibtex-key = BraMar2002] [bibtex-entry]


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  14. S. Harnedy. The MPLS Primer -- An Introduction to Multiprotocol Label Switching. Prentice Hall, Englewood Cliffs, 2002. [bibtex-key = Harnedy02] [bibtex-entry]


  15. M.W. Kirby. A history of Operational Research in Britain. World Scientific, London, 2002. [bibtex-key = Kirby02] [bibtex-entry]


  16. B. Liu. Theory and Practice of Uncertain Programming. Physica-Verlag, Heidelberg, 2002. [bibtex-key = Liu] [bibtex-entry]


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  18. L. Polkowski. Rough Sets: Mathematical Foundations. Physica-Verlag, Heidelberg, 2002. [bibtex-key = Polk02] [bibtex-entry]


  19. R.W. Saaty. Decision Making in Complex Environments: The Analytic Network Process (ANP) for Dependence and Feedback; A Manual for the ANP Software SuperDecisions. Creative Decisions Foundation, 4922 Ellsworth Avenue, Pittsburgh, PA 15213, 2002. [bibtex-key = Saaty2002] [bibtex-entry]


  20. H. Shefrin. Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing. Oxford University Press, New York, 2002. [bibtex-key = shefrin02] [bibtex-entry]


  21. V. T'kindt and J.C Billaut. Multicriteria Scheduling. Springer Verlag, Berlin, 2002. [bibtex-key = VJCbook] [bibtex-entry]


  22. Z. Drezner and H.W. Hamacher, editors. Facility Location. Aplications and Theory. Springer, New York, 2002. [bibtex-key = dre02] [bibtex-entry]


  23. T. Trzasskalik and J. Michnik, editors. Multiple Objective and Goal Programming: Recent Developments. Physica Verlag, Heidelberg, 2002. [bibtex-key = TrzaskalikMichnik2002] [bibtex-entry]


  24. M.A. Aloulou. Structure flexible d'ordonnancements à performances contrôlées pour le pilotage d'atelier en présence de perturbations. Thèse de Doctorat, Institut National Polytechnique de Lorraine, Nancy, December 2002. [bibtex-key = aloulouThese] [bibtex-entry]


  25. J.M. De Corte. Un Logiciel d'Exploitation d'Informations Préférentielles pour l'Aide à la Décision. Bases Mathématiques et Algorithmiques. PhD thesis, University of Mons-Hainaut, Mons, 2002. [bibtex-key = DeC02] [bibtex-entry]


  26. L. Montano-Guzmán. Fuzzy measures and integrals in the MCDA sorting problematic: Methodology and application to the diagnosis of firms. PhD thesis, Université Libre de Bruxelles, Brussels, Belgium, 2002. [bibtex-key = Montano02] [bibtex-entry]


  27. A. Ngo The. Structures de préférence non conventionnelles en aide à la décision. PhD thesis, Université Paris Dauphine, Paris, 2002. [bibtex-key = Angophd02] [bibtex-entry]


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    Abstract: "ELECTRE TRI is a well-known method to assign a set of alternatives to a set of predefined categories, considering multiple criteria. Using this method requires setting many parameters, which is often a difficult task. We consider the case where the Decision Makers (DMs) in the decision process are not sure of which values should each parameter take, which may result from uncertain, imprecise or inaccurately determined information, as well as from a lack of consensus among them. This paper discusses the synergy between two approaches developed independently to deal with this difficulty. Both approaches avoid asking for precise values for the parameters. Rather, they proceed to solve the problem in a way that requires from the DMs much less effort. The first approach infers the value of parameters from assignment examples provided by the DMs. Each assignment example originates mathematical constraints to which the parameter values should satisfy. The second approach considers a set of constraints on the parameter values reflecting the imprecise information that the DMs are able to provide. Then, it computes the best and worst categories for each alternative compatible with constraints. This paper proposes a new approach integrating the elicitation phase with robustness analysis, to exploit the synergy between them. It is an interactive approach, where the insight obtained during robustness analyses guides the DMs during the elicitation phase."
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  229. P. Perny and O. Spanjaard. Preference-based Search in State Space Graphs. In Proceedings of the AAAI'2002 Conference, Edmonton, Canada, pages 751-756, July 2002. [bibtex-key = PernySpanjaard02] [bibtex-entry]


  230. S. Rozakis, J.C. Sourie, and D. Vanderpooten. Determining efficient biofuel tax exemption policy in France for greenhouse gas emission abatement. In A. OudeLasink and E. vanIerland, editors, Economics of Sustainable Energy in Agriculture, 2002. Kluwer Academic, Dordrecht.
    Note: Accepté. [bibtex-key = RSV02] [bibtex-entry]


  231. S. Ríos-Insua, A. Jiménez, and A. Mateos. A multiattribute decision support system for the optimization of resource planning processes over time. In Third International NAISO Symposium on Engineering of Intelligence Systems (EIS'2002) Proceedings, pages 67, September 2002. ICSC-NAISO Academic Press, Canada. [bibtex-key = RiosInsuaNaiso2002] [bibtex-entry]


  232. R. Slowinski, S. Greco, and B. Matarazzo. Mining decision-rule preference model from rough approximation of preference relation. In Proceedings of the 26$^{th}$ IEEE Annual International Conference on Computer Software & Applications (COMPSAC 2002), Oxford, pages 1129--1134, 2002. [bibtex-key = SGM02a] [bibtex-entry]


  233. R. Slowinski, S. Greco, and B. Matarazzo. Rough set analysis of preference-ordered data. In J.J. Alpigini, J.F. Peters, A. Skowron, and N. Zhong, editors, Rough Sets and Current Trends in Computing, Berlin, pages 44--59, 2002. Springer-Verlag. [bibtex-key = SGM02] [bibtex-entry]


  234. J. Stefanowski and A. Tsoukiàs. Induction of decision rules and classification in the valued tolerance approach. In J.J Alpigini, J.F Peters, A. Skowron, and N. Zhong, editors, Proceedings of the RSCTC 2002 Conference, pages 271--278, 2002. LNAI 2475, Springer Verlag, Berlin. [bibtex-key = StefanowskiTsoukias02] [bibtex-entry]


  235. D. Vanderpooten. Modelling in decision aiding. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke, editors, Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, pages 195-210, 2002. Kluwer Academic, Dordrecht. [bibtex-key = vdp02] [bibtex-entry]


  236. A. Verkeyn, D. Botteldooren, B. De Baets, and G. De Tre. Modeling annoyance aggregation with Choquet integrals. In B. De Baets, editor, Proceedings of Eurofuse Workshop on Information Systems, Varenna, Italy, pages 259 - 264, 2002. [bibtex-key = verkeyn] [bibtex-entry]


  237. A. Wierzbicki. Multicriteria models for the placement of Internet cache. In MCDM Winter Conference (16th MCDM World Conference), Semmering, Austria, February 2002. [bibtex-key = Wierzbicki02] [bibtex-entry]


  238. E. Zitzler, M. Laumanns, L. Thiele, C. M. Fonseca, and V. Grunert da Fonseca. Why Quality Assessment Of Multiobjective Optimizers Is Difficult. In Genetic and Evolutionary Computation Conference (GECCO 2002), New York, NY, USA, pages 666--674, July 2002. Morgan Kaufmann Publishers. [bibtex-key = zltf2002a] [bibtex-entry]


  239. E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization. In Evolutionary Methods for Design, Optimisation, and Control (EUROGEN 2001), pages 19--26, 2002. CIMNE. [bibtex-key = zitz2002b] [bibtex-entry]


  240. E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. In K.C. Giannakoglou and others, editors, Evolutionary Methods for Design, Optimisation and Control with Application to Industrial Problems (EUROGEN 2001), pages 95--100, 2002. International Center for Numerical Methods in Engineering (CIMNE). [bibtex-key = zlt2002a] [bibtex-entry]


  241. A. Ait Younes and B. Roy. Prise en compte d'une connaissance imparfaite à l'aide d'un pseudo-critère : procédure interactive de construction. Cahier du LAMSADE 197, Université Paris-Dauphine, 2002. [bibtex-key = AitRoy02] [bibtex-entry]


  242. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler. PISA --- A Platform and Programming Language Independent Interface for Search Algorithms. TIK Report 154, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, october 2002. [bibtex-key = bltz2002a] [bibtex-entry]


  243. S. Damart, V. Mousseau, and I. Sommerlatt. Du mode d'implication d'acteurs multiples dans le cadre de l'utilisation d'un modèle d'affectation multicritère : Analyse au regard d'une application à la tarification des transports publics. Cahier du LAMSADE no.190, Université de Paris-Dauphine, 2002.
    Abstract: "Les méthodes d'aide multicritère à la décision laissent une large gamme de modalités d'application notamment lorsque la décision implique plusieurs acteurs. La construction collective des modèles d'aide à la décision multicritère a trait à la manière de mener avec les décideurs la phase de structuration, d'élaboration de l'ensemble des actions potentielles, de construction d'une famille (ou une hiérarchie) de critères, d'élicitation les préférences. Le mode d'implication des acteurs dans la construction collective de modèle muticritère est étudié dans cet article. L'analyse s'appuie sur une application réelle, dans le domaine de la tarification des transport publics."
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  244. L.C. Dias and V. Mousseau. Inferring Electre's veto-related parameters from outranking examples. Research report no.5/2002, INESC Coimbra, 2002.
    Note: To appear in EJOR. [ ]
    Abstract: "When considering Electre's valued outranking relations, aggregation/disaggregation methodologies have difficulties in taking discordance (veto) into account. We present a partial inference procedure to compute the value of the veto-related parameters that best restore a set of outranking statements, provided by a decision maker ({\it i.e.}, examples that an Electre model should restore).\\ This paper complements previous work on the inference of other preference-related parameters (weights, cutting level, category limits, ...), advancing toward an integrated approach to inference problems in Electre III and Tri methods. We propose mathematical programs to infer veto-related parameters, first considering only one criterion, then all criteria simultaneously, using the original version of Electre outranking relation and two variants. Depending on the case, these inference procedures lead to linear programming, 0-1 linear programming, or separable programming problems.\\ The partial inference programs are considered as problems to be solved several times in an interactive process, where the DM(s)\ continuously revise the information they provide as they learn from the results"
    [bibtex-key = dias2tech02] [bibtex-entry]


  245. L.C. Dias and V. Mousseau. Inferring Electre's veto-related parameters from outranking examples. Cahier du LAMSADE no 198, Université de Paris-Dauphine, 2002. [ ]
    Abstract: When considering Electre's valued outranking relations, aggregation/disaggregation methodologies have difficulties in taking discordance (veto) into account. We present a partial inference procedure to compute the value of the veto-related parameters that best restore a set of outranking statements, provided by a decision maker ( i.e., examples that an Electre model should restore). This paper complements previous work on the inference of other preference-related parameters (weights, cutting level, category limits, ...), advancing toward an integrated approach to inference problems in Electre III and Tri methods. We propose mathematical programs to infer veto-related parameters, first considering only one criterion, then all criteria simultaneously, using the original version of Electre outranking relation and two variants. Depending on the case, these inference procedures lead to linear programming, 0-1 linear programming, or separable programming problems. The partial inference programs are considered as problems to be solved several times in an interactive process, where decision makers continuously revise the information they provide as they learn from the results.
    [bibtex-key = dias2tech02a] [bibtex-entry]


  246. V. Köbberling. Strenth of preference and cardinal utility. Working Paper, University of Maastricht, Maastricht, June 2002. [bibtex-key = Kobberling2002] [bibtex-entry]


  247. M. Laumanns, L. Thiele, E. Zitzler, E. Welzl, and K. Deb. Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem. Technical report 123, Computer Engineering and Networks Laboratory, ETH Zurich, January 2002. [bibtex-key = ltzw2002a] [bibtex-entry]


  248. M.A.L Leitão, J.F. Thomaz, F.V. Freire, and C.A. Bana e Costa. Using decision conferencing and process consultation to facilitate the structuring of a performance appraisal model in the Portuguese Army. Research Paper 5/2002, CEG-IST, Technical University of Lisbon, 2002. [bibtex-key = LTFBeC02] [bibtex-entry]


  249. J.-L. Marichal, P. Meyer, and M. Roubens. On a Sorting Procedure in the Presence of Qualitative Interacting Points of View. Technical report, University of Liege, 2002. [bibtex-key = 80] [bibtex-entry]


  250. J.M. Martel and B. Roy. Analyse de la signifiance de diverses procédures d'agrégation multicritère. Annales du LAMSADE 1, Université Paris-Dauphine, 2002. [bibtex-key = MartelRo02] [bibtex-entry]


  251. L. Martins, J. Craveirinha, J. Clìmaco, and T. Gomes. Modelling and Performance Analysis of a New Multiple Objective Dynamic Routing Method for Multiexchange Networks. Technical report 11, ISSN 1645-2631, INESC-Coimbra, 2002. [bibtex-key = Martins02] [bibtex-entry]


  252. C. Mousset and J.C. Vansnick. About the representation of a precardinal information. Technical report, Université de Mons-Hainaut, 2002. [bibtex-key = MV] [bibtex-entry]


  253. B. Roy. Présentation et interprétation de la méthode ELECTRE TRI pour affecter des zones dans des catégories de risque. Document du LAMSADE no 124, Université de Paris Dauphine, march 2002.
    Note: 25 pages. [bibtex-key = TECH-BR02] [bibtex-entry]


  254. M. Saisana and S. Tarantola. State-of-the-art report on current methodologies and practives for composite indicator development. EUR 20408 EN, European Commission, JRC, Ispra, Italy, 2002. [bibtex-key = SaisanaTarantola2002] [bibtex-entry]


  255. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. Technical report 139, Computer Engineering and Networks Laboratory, ETH Zurich, June 2002. [bibtex-key = ztlf2002a] [bibtex-entry]


  256. L. Dias, V. Mousseau, J. Figueira, J. Clìmaco, and C.G. Silva. IRIS 1.0 Software. Newsletter of the European Working Group ``Multicriteria Aid for Decisions'', 2002.
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  257. B. Roy and J.M. Martel. Analyse de la signifiance de diverses procédures d'agrégation multicritère à partir de la théorie du mesurage. , 2002. [bibtex-key = Roysignifiance] [bibtex-entry]


2001
  1. D. Bertsekas and R. Gallager. Data Networks. Prentice-Hall, Englewood Cliffs, 2001. [bibtex-key = Bertsekas01] [bibtex-entry]


  2. K. Deb. Multi-Objective Optimization using Evolutionary Algorithms, Wiley-Interscience Series in Systems and Optimization. John Wiley & Sons, Chichester, 2001. [bibtex-key = Deb01] [bibtex-entry]


  3. Ph. Jorion. Value at Risk: The Benchmark for Controlling Market Risk. McGraw-Hill, Chicago, 2001. [bibtex-key = Jorion01] [bibtex-entry]


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  7. A. Colorni, M. Paruccini, and B. Roy, editors. A-MCD-A - Aide Multi Critère à la Décision - Multiple Criteria Decision Aiding, Joint Research Center. The European Commission, 2001. [bibtex-key = book-roy2001] [bibtex-entry]


  8. E. Zitzler, K. Deb, L. Thiele, C. A. Coello Coello, and D. Corne, editors. Evolutionary Multi-Criterion Optimization (EMO 2001), volume 1993 of Lecture Notes in Computer Science, Berlin, Germany, 2001. Springer. [WWW ] [bibtex-key = zdtc2001a] [bibtex-entry]


  9. M. Koksalan and S. Zionts, editors. Multiple Criteria Decision Making in the New Millennium, 2001. Springer Verlag. [bibtex-key = KoksalanZionts2001] [bibtex-entry]


  10. A. Ait Younes. Problèmes liés à la construction d'un pseudo-critère : développements théoriques et implémentation informatique. Thèse de doctorat, Univ. Paris-Dauphine, 2001. [bibtex-key = Ait01] [bibtex-entry]


  11. N. Moussa. Aide multicritère à l'évaluation qualitative par inférence de modèles de tri ordinal sur une hiérarchie de critères. PhD thesis, Université Paris-Dauphine, 2001. [bibtex-key = moussa1these01] [bibtex-entry]


  12. J. Buchanan and N. Kock. Information overload: A decision making perspective, pages 49-58. Springer Verlag, Berlin, 2001. [bibtex-key = BucKoc01] [bibtex-entry]


  13. Q. Chen and E. Triantaphyllou. Estimating Data for Multi-Criteria Decision Making Problems: Optimization Techniques, volume 2, pages 27-36. Kluwer Academic, Dordrecht, 2001. [bibtex-key = triantaphyllou04] [bibtex-entry]


  14. V. D. Noghin. What is the relative importance of criteria and how to use it in MCDM, pages 59-68. Lecture Notes in Economics and Mathematical Systems. Springer Verlag, Berlin, 2001. [bibtex-key = Noghin01] [bibtex-entry]


  15. V. Belton and J. Pictet. Talking about the practice of MCDA. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke, editors,Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, pages 71-88. Kluwer Academic Publishers, Dordrecht, 2001. [bibtex-key = BeltonPi01] [bibtex-entry]


  16. A. David. Decision-aid between tools and organisations. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke, editors,Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, pages 45-69. Kluwer Academic Publishers, Dordrecht, 2001. [bibtex-key = David01] [bibtex-entry]


  17. D. Dubois, J. Marichal, H. Prade, and M. Roubens. The use of the discrete Sugeno integral in decision-making: A survey. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A: Multiple Criteria Decision Aiding, pages 81-98. Joint Research Center. The European Commission, Luxembourg, 2001. [bibtex-key = DuboisMaPrRo01] [bibtex-entry]


  18. S. Greco, B. Matarazzo, and R. Slowinski. Conjoint measurement and rough set approach for multicriteria sorting problems in presence of ordinal criteria. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A, Aide Multicritère à la Décision/Multiple Criteria Decision Aid, pages 117--144. European Commission, Joint Research Centre, EUR 19808 EN, Ispra, 2001. [bibtex-key = GrecoMatarazzoSlowinski01Colorni] [bibtex-entry]


  19. R. Lahdelma, P. Salminen, A. Simonen, and J. Hokkanen. Choosing a reparation method for a landfill using the SMAA-O multicriteria method. In M. Köksalan and S. Zionts, editors,Multiple criteria decision making in the new millennium, Lecture Notes in Economics and Mathematical Systems 507, pages 380-389. 2001. [bibtex-entry]


  20. N. Manouselis and N.F. Matsatsinis. Introducing a multi-agent, multi-criteria methodology for modeling electronic consumer's behavior: The case of internet radio. In M. Klush and F. Zambonelli, editors,Cooperative Information Agents V, volume 2182 of Lecture Notes in Artificial Intelligence, pages 190--195. Springer-Verlag, Berlin, 2001. [bibtex-key = Manouselis] [bibtex-entry]


  21. J.-L. Marichal and M. Roubens. On a sorting procedure in the presence of qualitative interacting points of view. In J. Chojean and J. Leski, editors,Fuzzy Sets and their Applications, pages 217-230. Silesian University Press, Gliwice, 2001. [bibtex-key = marichal2001] [bibtex-entry]


  22. K. Miettinen, P. Salminen, and R. Lahdelma. Treating ordinal criteria in stochastic weight space analysis. In M. Köksalan and S. Zionts, editors,Multiple criteria decision making in the new millennium, Lecture Notes in Economics and Mathematical Systems 507, pages 285-293. 2001. [bibtex-entry]


  23. V. Mousseau, B. Roy, and I. Sommerlatt. Development of a decision aiding tool for the evolution of public transport ticket pricing in the Paris region. In M. Paruccini A. Colorni and B. Roy, editors,A-MCD-A Aide Multicritère à la Décision - Multiple Criteria Decision Aiding, pages 213-230. Joint Research Center, European Commision, Luxembourg, 2001. [ ]
    Abstract: "Observation of social and economic trends has led the Syndicat des Transports Parisiens (STP, the Paris transport authority) to re-examine the ticket price system as it is today. Reform of this system will involve a great many stakeholders in the transport world, whose interests are not necessarily the same; they must participate in this project so that a future ticket pricing structure will be acceptable to all. Therefore all those involved must be able to take part in the study which will precede the decisions. With this in mind, the STP has called for a methodological study which will allow the impact of ticket price changes based on zoning to be evaluated. The main lines of research concern three phases: {\bf 1} Definition and evaluation of zoning choices in the Ile de France, {\bf 2} Quality analysis of potential offer and demand in the zones thus selected, {\bf 3} Evaluation and comparison of the various ticket pricing hypotheses. This methodology will take the form of software which will be the basis for analysis and dialogue between the stakeholders involved in ticket price changes. This software must allow first, input, evaluation, modification and comparison of zoning choices, and second, the transport offer and the potential demand for each zoning choice to be analysed in order to design and evaluate the impact of a ticket pricing scenario applied to the zoning choice on the basis of hypothetical traffic flow evolution."
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  24. M.S. Raisinghani. A balanced analytic approach to strategie electronic commerce decision: A framework of the evaluation method. In W.V. Grembergen, editor,Information Technology Evaluation Methods and Management, pages 185-197. Idea Group Publishing, 2001. [bibtex-key = Raisinghani01] [bibtex-entry]


  25. F Rauschmayer. How to consider ethics in MCDA?. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A: Multiple Criteria Decision Aiding, pages 273-280. Joint Research Center. The European Commission, Luxembourg, 2001. [bibtex-key = Rauchmayer01] [bibtex-entry]


  26. J.V. Rosenhead. Robustness analysis: Keeping your options open. In J. Rosenhead and J. Mingers, editors,Rational Analysis for a Problematic World Revisited: Problem Structuring Methods for Complexity, Uncertainty and Conflict, pages 181-207. John Wiley & Sons, Chichester, 2001. [bibtex-key = Rosenhead01b] [bibtex-entry]


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  28. M. Roubens. Ordinal multiattribute sorting and ordering in the presence of interacting points of view. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinsky, D. Vanderpooten, and Ph. Vincke, editors,Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, pages 229-246. Kluwer Academic Publishers, Dordrecht, 2001. [bibtex-key = rou01] [bibtex-entry]


  29. S. Ríos-Insua, A. Jiménez, and A. Mateos. Solving imprecise discrete multiattribute problems under risk based on interactive simulated annealing. In Advances in decision technology and intelligent information systems, vol. II. K. J. Engemann and G. E. Lasker, The International Institute for Advanced Studies in Systems Research and Cybernetics, 2001. [bibtex-key = RiosInsuaVolII2001] [bibtex-entry]


  30. Y. Siskos, E. Grigoroudis, Y. Politis, and Y. Malandrakis. Customer satisfaction evaluation: Some real experiences. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A: Multiple Criteria Decision Aiding, pages 297--314. European Commission Joint Research Centre, Ispra, Italy, 2001. [bibtex-key = Siskos01a] [bibtex-entry]


  31. J. Stefanowski and A. Tsoukiàs. Valued Tolerance and Decision Rules. In W. Ziarko and Y. Yao, editors,Rough Sets and Current Trends in Computing, pages 212-219. Springer Verlag, LNAI 2005, Berlin, 2001. [bibtex-key = StefanowskiTsoukias01a] [bibtex-entry]


  32. Ph. Vincke. Preferences and numbers. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A - Aide Multi Critère à la Décision - Multiple Criteria Decision Aiding, Joint Research Center, pages 343-354. The European Commission, 2001. [bibtex-key = Vincke01] [bibtex-entry]


  33. C. Zopounidis and Ch. Hurson. Portfolio selection and multicriteria analysis. In C. Floudas and P. Pardalos, editors,Encyclopedia of Optimization, Vol. IV, pages 310-322. Kluwer Academic Publishers, Dordrecht, 2001. [bibtex-key = ZopounidisHu01b] [bibtex-entry]


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  50. A.J. Balkema, H.A. Preisig, R. Otterpohl, A.J.D. Lambert, and S.R. Weijers. Developing a model based decision support tool for the identification of sustainable treatment options for domestic wastewater. Water Science and Technology, 43(7):265-270, 2001. [bibtex-key = Hyde18] [bibtex-entry]


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  54. C.A. Bana e Costa. The use of multi-criteria decision analysis to support the search for less conflicting policy options in a multi-actor context: case study. Journal of Multi-Criteria Decision Analysis, 10(2):111-125, 2001. [bibtex-key = ewg2001-015] [bibtex-entry]


  55. C.A. Bana e Costa and J.O. Soares. Multicriteria Approaches for Portfolio Selection: An Overview. Review of Financial Markets, 4(1):19-26, 2001. [bibtex-key = BanaCostaSoares2001b] [bibtex-entry]


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  317. T.J. Venn and S.R. Harrison. Appropriate multi-criteria decision support tools for aiding indigenous decision-makers in Aurukun Shire, Cape Yorke Peninsula. In F. Ghassemi, M. McAleer, L. Oxley, and M. Scoccimarro, editors, MODSIM 2001 International Congress on Modelling and Simulation, volume 3, Canberra, pages 1097-1102, 2001. Modelling and Simulation Society of Australia and New Zealand Inc.. [bibtex-key = Hyde225] [bibtex-entry]


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  319. C. Zopounidis. Preference Disaggregation Approach: Basic Features, Examples from Financial Decision Making. In C.A. Floudas and P.M. Pardalos, editors, Encyclopedia of Optimization, phvol. IV, pages 344-357, 2001. Kluwer Academic Publishers, Dordrecht. [bibtex-key = Zopounidis2001] [bibtex-entry]


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  321. J.N. Clìmaco, L.C. Dias, J. Figueira, C. Gomes, and V. Mousseau. Resolving inconsistencies among constraints on the parameters of an MCDA model. Cahier du Lamsade no.178, Université Paris Dauphine, 2001.
    Abstract: "We consider a framework where Decision Makers (DMs) interactively define a multicriteria evaluation model by providing imprecise information (i.e., a linear system of constraints to the model's parameters) and by analyzing the consequences of the information provided. DMs may introduce new constraints explicitly or implicitly (results that the model should yield). If a new constraint is incompatible with the previous ones, then the system becomes inconsistent and the DMs must choose between removing the new constraint or removing some of the older ones. We address the problem of identifying subsets of constraints which, when removed, lead to a consistent system. Identifying such subsets would indicate the reason for the inconsistent information given by DMs. There may exist several possibilities for the DMs to resolve the inconsistency. We present two algorithms to identify such possibilities, one using 0-1 programming and the other one using linear programming. Both approaches are based on the knowledge that the system was consistent prior to introducing the last constraint. The output of these algorithms helps the DM to identify the conflicting pieces of information in a set of statements he/she asserted. The relevance of these algorithms for MCDA is illustrated by an application to an aggregation/disaggregation procedure for the Electre Tri method."
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  324. Martin Josef Geiger. A Genetic Algorithm applied to multiple objective vehicle routing problems. Arbeitspapier 32, Universität Hohenheim, Lehrstuhl für Industriebetriebslehre, Stuttgart, Juni 2001.
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  325. A. Jaszkiewicz. A Comparative Study of Multiple-Objective Metaheuristics on the Bi-Objective Set Covering Problem and the Pareto Memetic Algorithm. Technical report RA-003/01, Institute of Computing Science, Poznan University of Technology, 2001. [bibtex-key = 56] [bibtex-entry]


  326. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. On the Convergence and Diversity-Preservation Properties of Multi-Objective Evolutionary Algorithms. Technical report 108, Computer Engineering and Networks Laboratory, ETH Zurich, 2001. [bibtex-key = ltdz2001a] [bibtex-entry]


  327. V. Mousseau and L.C. Dias. Fuzzy outranking relations in ELECTRE providing manageable disaggregation procedures. Dimacs Research Report 2001-27, Rutgers Univerity, August 2001. [WWW ] [ ]
    Abstract: "In ELECTRE methods, the construction of an outranking relation $S$ amounts at validating or invalidating, for any pair of alternatives $(a,b) \in A$, an assertion $aSb$. This comparison is grounded on the evaluation vectors of both alternatives, and on additional information concerning the DM's preferences, accounting for two conditions: concordance and non-discordance. In decision processes using these methods, the analyst should interact with DM(s) in order to elicit values for preferential parameters. This can be done either directly or through a disaggregation procedure that infers the parameters values from holistic judgements provided by the DM(s). Inference is usually performed through an optimization program that accounts for the aggregation model and minimizes an ``error function''. Although disaggregation approaches have been largely used in additive models, only few advances have been made towards a disaggregation approach for ELECTRE type methods. This probably reflects the ``optimization unfriendly'' character of the most recent ELECTRE methods.\\ In this paper we are concerned with a slight adaptation of the valued outranking relation used in the ELECTRE III and ELECTRE TRI that preserves the original ideas and is more optimization-friendly for parameter inference programs. Such modification is shown to preserve the original discordance concept. We show that the modified outranking relation makes it easier to solve inference programs."
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  328. V. Mousseau and L.C. Dias. Valued outranking relations in ELECTRE providing manageable disaggregation procedures. Cahier du LAMSADE no.189, Université de Paris-Dauphine, December 2001. [ ]
    Abstract: "In ELECTRE methods, the construction of an outranking relation $S$ amounts at validating or invalidating, for any pair of alternatives $(a,b) \in A$, an assertion $aSb$. This comparison is grounded on the evaluation vectors of both alternatives, and on additional information concerning the DM's preferences, accounting for two conditions: concordance and non-discordance. In decision processes using these methods, the analyst should interact with DM(s) in order to elicit values for preferential parameters. This can be done either directly or through a disaggregation procedure that infers the parameters values from holistic judgements provided by the DM(s). Inference is usually performed through an optimization program that accounts for the aggregation model and minimizes an ``error function''. Although disaggregation approaches have been largely used in additive models, only few advances have been made towards a disaggregation approach for ELECTRE type methods. This probably reflects the ``optimization unfriendly'' character of the most recent ELECTRE methods.\\ In this paper we are concerned with a slight adaptation of the valued outranking relation used in the ELECTRE III and ELECTRE TRI that preserves the original ideas and is more optimization-friendly for parameter inference programs. Such modification is shown to preserve the original discordance concept. We show that the modified outranking relation makes it easier to solve inference programs."
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  329. A. Ngo The and A. Tsoukiàs. Numerical representation of PQI interval orders. Technical report, Cahier du LAMSADE n. 184, Université Paris Dauphine, Paris, 2001. [bibtex-key = cahier184] [bibtex-entry]


  330. S.R. Thirumalasetty and D. Medhi. MPLS Traffic Engineering for Survivable Book-Ahead Guaranteed Services. Technical Report in Computer Science and Telecommunications, University of Missouri Kansas City, July 2001.
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  331. A. Tsoukiàs and A. Papayannakis. A real case study on Transportation Scenario Comparison. Technical report, Document du LAMSADE n. 121, Université Paris Dauphine, Paris, 2001. [bibtex-key = doc121] [bibtex-entry]


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