Brice Mayag
Assistant professor
University Paris Dauphine


Articles in journals


  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, Volume 7 (8), 142-150. doi:DOI: 10.5897/IJFA15.0480.
  2. Labreuche C., Mayag B., Duqueroie B. Extension of the MACBETH approach to elicit an ordered weighted average operator. EURO Journal on Decision Processes, Volume 3, Issue 1-2 , pp 65-105.
  3. Rolland A., Ah-Pine J., Mayag B. Elicitation of 2-additive bi-capacity parameters. EURO Journal on Decision Processes. Volume 3, Issue 1-2 , pp 5-28
  1. Arduin P-E., Mayag B., Negre E., Rosenthal-Sabroux C. How to compromise on the best price? A group tacit knowledge-based multicriteria approach JDS (Journal of Decision Systems) 23(1): 99-112. Download
  1. O. Cailloux, B. Mayag, P. Meyer, and V. Mousseau. Operational tools to build a multicriteria territorial risk scale with multiple stakeholders. Reliability Engineering & System Safety, 120 :88–97, 2013 Download
  1. B. Mayag, M. Grabisch, and C. Labreuche. A representation of preferences by the Choquet integralwith respect to a 2-additive capacity. Theory and Decision, 71(3):297–324, 2011. Download
  2. B.Mayag, M. Grabisch, and C. Labreuche. A characterization of the 2-additive Choquet integral through cardinal information. Fuzzy Sets and Systems, 184(1):84–105, 2011. Download

Articles in conferences


  1. Fabien Labernia, Florian Yger, Brice Mayag and Jamal Atif. Query-based learning of acyclic conditional preference networks from noisy data. In From Multiple Criteria Decision Aid to Preference Learning, DA2PL2016, Paderborn, Germany, 2016.
  2. Mayag, B. (2016). A 2-Additive Choquet Integral Model for French Hospitals Rankings in Weight Loss Surgery. dans Joao 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, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings (pp. 101-116).
  3. Arru, M., Mayag, B., & Negre, E. (2016). Early-Warning System Perception: a Study on Fire Safety. dans Andrea H. Tapia, Pedro Antunes, Victor A. Banuls, Kathleen Moore and Joao Porto de Albuquerque (Eds.), Proceedings of the 13th International Conference on Information Systems for Crisis Response and Managemen ISCRAM 2016, Brazil.
  1. B. Mayag. MOPIC properties in the representation of preferences by a 2-additive Choquet integral. 4th Algorithmic Decision Theory conference, September 2015, Lexington, Kentucky, USA
  2. C. Labreuche, S. Destercke, B. Mayag. Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles. ECSQARU 2015: 25-35
  3. Comes T., Mayag B., Negre E. Beyond Early: Decision Support for Improved Typhoon Warning Systems. ISCRAM2015, May 2015, Kristian