Brice Mayag
Assistant professor
LAMSADE
University Paris Dauphine

Publications

Articles in journals

2025:

  1. Negre E., Rosenthal-Sabroux C., Mayag B., Jaillet T. (2025), Quand l’intelligence artificielle rencontre l’ineffable : le défi des connaissances tacites humaines, Revue ouverte d’ingénierie des systèmes d’information, 5(2), 1–14.
  2. Saad I., Jaillet T., Mayag B., Negre E., Rosenthal-Sabroux C. (2025), Importance of Tacit Knowledge in Online Synchronous Courses: Case of Higher Education in France, International Journal of Knowledge Management Studies, forthcoming. DOI: 10.1504/IJKMS.2025.10071299.
2023:
  1. Kaldjob Kaldjob P. A., Mayag B., Bouyssou D. (2023), On the interpretation of the interaction index between criteria in a Choquet integral model, Fuzzy Sets and Systems, 458, 165–181.
  2. Kaldjob Kaldjob P. A., Mayag B., Bouyssou D. (2023), On the Robustness of the Sign of Nonadditivity Index in a Choquet Integral Model, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 31(4), 551–569.
2020:
  1. Mayag B., Bouyssou D. (2020), Necessary and possible interaction between criteria in a 2-additive Choquet integral model, European Journal of Operational Research, 283(1), 308–320.
  2. Richard A., Mayag B., Talbot F., Tsoukiàs A., Meinard Y. (2020), What does it mean to provide decision support to a responsible and competent expert? The case of diagnostic decision support systems, EURO Journal on Decision Processes, 8, 205–236.
2018:
  1. Labernia F., Yger F., Mayag B., Atif J. (2018), Query-based learning of acyclic conditional preference networks from contradictory preferences, EURO Journal on Decision Processes, 6(1–2), 39–59.
2015:
  1. Moroni F., Ortega A., Moroni R., Lessi E., Mayag B., Souza de Jesus R. (2015), Limitations in decision context for selection of Amazonian armoured catfish acari-bodó (Pterygoplichthys pardalis) as candidate species for aquaculture, International Journal of Fisheries and Aquaculture, 7(8), 142–150. doi: 10.5897/IJFA15.0480.
  2. Labreuche C., Mayag B., Duqueroie B. (2015), Extension of the MACBETH approach to elicit an ordered weighted average operator, EURO Journal on Decision Processes, 3(1–2), 65–105.
  3. Rolland A., Ah-Pine J., Mayag B. (2015), Elicitation of 2-additive bi-capacity parameters, EURO Journal on Decision Processes, 3(1–2), 5–28.
2014:
  1. Arduin P.-E., Mayag B., Negre E., Rosenthal-Sabroux C. (2014), How to compromise on the best price? A group tacit knowledge-based multicriteria approach, Journal of Decision Systems, 23(1), 99–112. Download
2013:
  1. Cailloux O., Mayag B., Meyer P., Mousseau V. (2013), Operational tools to build a multicriteria territorial risk scale with multiple stakeholders, Reliability Engineering & System Safety, 120, 88–97. Download
2011:
  1. Mayag B., Grabisch M., Labreuche C. (2011), A representation of preferences by the Choquet integral with respect to a 2-additive capacity, Theory and Decision, 71(3), 297–324. Download
  2. Mayag B., Grabisch M., Labreuche C. (2011), A characterization of the 2-additive Choquet integral through cardinal information, Fuzzy Sets and Systems, 184(1), 84–105. Download



Articles in conferences

2026:

  1. Mayag B. (2026), Enhancing the Yuka Score using a 2-additive Choquet integral, in IPMU 2026, Springer Nature Computer Science book series, forthcoming.
2024:
  1. Mayag B. (2024), A robust interpretation of criteria interactions: Explaining the human development index ranking by a 2-additive Choquet integral model, in IPMU 2024, Lecture Notes in Networks and Systems, Springer, pp. 377–388.
2022:
  1. Kaldjob Kaldjob P. A., Mayag B., Bouyssou D. (2022), Study of the Instability of the Sign of the Nonadditivity Index in a Choquet Integral Model, in IPMU 2022, Communications in Computer and Information Science, Springer, pp. 197–209.
  2. Mayag B., Tchantcho B. (2022), The d-Interaction Index in MCDA, in IPMU 2022, Communications in Computer and Information Science, Springer, pp. 210–220.
2021:
  1. Arduin P.-E., Grundstein M., Mayag B., Negre E., Rosenthal-Sabroux C., Saad I. (2021), The Importance of Tacit Knowledge When Teaching Suddenly Online, in IICIKS 2021, Lecture Notes in Business Information Processing, Springer, pp. 29–42.
  2. Kaldjob Kaldjob P. A., Mayag B., Bouyssou D. (2021), Necessary and Possible Interaction in a 2-Maxitive Sugeno Integral Model, in ADT 2021, Lecture Notes in Computer Science, Springer, pp. 323–337.
  3. Richard A., Mayag B., Talbot F., Tsoukiàs A., Meinard Y. (2021), A virtual assistant dedicated to supporting day-to-day medical consultations, in ICHI 2021, IEEE, pp. 330–338.
2020:
  1. Richard A., Mayag B., Talbot F., Tsoukiàs A., Meinard Y. (2020), Transparency of Classification Systems for Clinical Decision Support, in Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat (eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Springer, pp. 99–113.
  2. Kaldjob Kaldjob P. A., Mayag B., Bouyssou D. (2020), Necessary and Possible Interaction Between Criteria in a General Choquet Integral Model, in Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat (eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Springer, pp. 457–466.
  3. Mayag B., Tchantcho B. (2020), The necessary and possible importance relation among criteria in a 2-additive Choquet integral model, in Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat (eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Springer, pp. 496–509.
2018:
  1. Richard A., Mayag B., Meinard Y., Talbot F., Tsoukiàs A. (2018), How AI could help physicians during their medical consultations: An analysis of physicians' decision process to develop efficient decision support systems for medical consultations, in Armelle Brun, Davy Monticolo (eds.), PFIA 2018, Nancy, pp. 101–106.
2017:
  1. Galand L., Mayag B. (2017), A Heuristic Approach to Test the Compatibility of a Preference Information with a Choquet Integral Model, in Jörg Rothe (ed.), Algorithmic Decision Theory: 5th International Conference, ADT 2017, Springer International Publishing, pp. 65–80.
  2. Labernia F., Zanuttini B., Mayag B., Yger F., Atif J. (2017), Online learning of acyclic conditional preference networks from noisy data, in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017), IEEE Computer Society, pp. 247–256.
2016:
  1. Labernia F., Yger F., Mayag B., Atif J. (2016), Query-based learning of acyclic conditional preference networks from noisy data, in From Multiple Criteria Decision Aid to Preference Learning, DA2PL 2016, Paderborn, Germany.
  2. Mayag B. (2016), A 2-additive Choquet Integral Model for French Hospitals Rankings in Weight Loss Surgery, in João Paulo Carvalho, Marie-Jeanne Lesot, Uzay Kaymak, Susana M. Vieira, Bernadette Bouchon-Meunier, Ronald R. Yager (eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Springer, pp. 101–116.
  3. Arru M., Mayag B., Negre E. (2016), Early-Warning System Perception: a Study on Fire Safety, in Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2016, Brazil.
2015:
  1. Mayag B. (2015), MOPIC properties in the representation of preferences by a 2-additive Choquet integral, in 4th Algorithmic Decision Theory Conference (ADT 2015), Lexington, Kentucky, USA.
  2. Labreuche C., Destercke S., Mayag B. (2015), Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles, in ECSQARU 2015, pp. 25–35.
  3. Comes T., Mayag B., Negre E. (2015), Beyond Early: Decision Support for Improved Typhoon Warning Systems, in ISCRAM 2015, Kristiansand, Norway.
2014:
  1. Mayag B. (2014), About the French hospitals rankings: a MCDA point of view, in From Multiple Criteria Decision Aid to Preference Learning, DA2PL 2014, École Centrale Paris, France, November 2014. Download
  2. Comes T., Mayag B., Negre E. (2014), Decision Support for Disaster Risk Management: Integrating Vulnerabilities into Early-Warning Systems, in ISCRAM-med 2014, Lecture Notes in Business Information Processing, Springer, pp. 178–191.
  3. Mayag B. (2014), A Characterization of the 2-Additive Symmetric Choquet Integral Using Trinary Alternatives, in IPMU 2014, Communications in Computer and Information Science, Springer, pp. 266–275. Download
2013:
  1. Ah-Pine J., Mayag B., Rolland A. (2013), Identification of a 2-additive bi-capacity by using mathematical programming, in P. Perny, M. Pirlot, and A. Tsoukias (eds.), Algorithmic Decision Theory, Brussels, Belgium, November 2013, pp. 15–29. Download
2012:
  1. Bouyssou D., Couceiro M., Labreuche C., Marichal J.-L., Mayag B. (2012), Using Choquet integral in machine learning: What can MCDA bring?, in From Multiple Criteria Decision Aid to Preference Learning, DA2PL 2012, Mons, Belgium. Download
  2. Mayag B., Rolland A., Ah-Pine J. (2012), Elicitation of a 2-additive bi-capacity through cardinal information on trinary actions, in Advances in Computational Intelligence - 14th International Conference on Information Processing and Management of Uncertainty, IPMU 2012, Catania, Italy, pp. 238–247. Download
2011:
  1. Mayag B., Grabisch M., Labreuche C. (2011), A Reduction of the Complexity of Inconsistencies Test in the MACBETH 2-Additive Methodology, ADT 2011, pp. 178–189. Download
  2. Mayag B., Cailloux O., Mousseau V. (2011), MCDA tools and Risk Analysis: the Decision Deck Project, in ESREL 2011, Conference of the European Safety and Reliability Association, Troyes, France, pp. 2324–2330. Download
  3. Mayag B., Grabisch M., Labreuche C. (2011), Dealing with inconsistencies in the representation of ordinal information by a 2-additive Choquet integral, EUSFLAT/LFA 2011, pp. 119–126. Download
2010:
  1. Mayag B., Grabisch M., Labreuche C. (2010), An Interactive Algorithm to Deal with Inconsistencies in the Representation of Cardinal Information, IPMU 2010, pp. 148–157. Download
2009:
  1. Mayag B., Grabisch M., Labreuche C. (2009), A Link Between the 2-additive Choquet Integral and Belief Functions, IFSA/EUSFLAT 2009, pp. 363–368. Download
  2. Mayag B., Grabisch M., Labreuche C. (2009), A characterization of the 2-additive Choquet integral through cardinal information, in Proceedings of EUROFUSE 2009 Workshop Preference Modeling and Decision Analysis, Pamplona, Spain, pp. 155–160. Download
2008:
  1. Mayag B., Grabisch M., Labreuche C. (2008), A characterization of the 2-additive Choquet integral, in 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Malaga, Spain, pp. 1512–1518. Download
  2. Mayag B., Grabisch M., Labreuche C. (2008), Un algorithme de détermination de la capacité pour l'intégrale de Choquet 2-additive, in Rencontres Francophones sur la Logique Floue et ses Applications, Lens, France, pp. 260–267. Download