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A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information

Abstract : The Evidential Reasoning for Multi Criteria Decision Analysis (ER-MCDA) is based on a mapping process transforming a possibility distribution into a Bayesian basic belief assignment (BBA) related to a qualitative frame of discernement (FoD). Each element of the FoD is a fuzzy set. A new improved mapping method is proposed to get a final potentially non-Bayesian BBA on the FoD. We apply it to assess the stability of protective check dams against torrential floods given their imprecise scouring rate.
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Contributor : Véronique Soullier <>
Submitted on : Wednesday, December 7, 2016 - 3:15:45 PM
Last modification on : Tuesday, September 21, 2021 - 3:40:06 AM
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Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Guillaume Dupouy, Mireille Batton-Hubert. A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information. Jiřina Vejnarová, Václav Kratochvíl. Belief Functions: Theory and Applications 4th International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings, 9861 (5), Springer International Publishing, p. 46-55, 2016, ⟨10.1007/978-3-319-45559-4_5⟩. ⟨hal-01408815v2⟩



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