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.
Type de document :
Communication dans un congrès
Jiřina Vejnarová, Václav Kratochvíl. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. Springer International Publishing, Belief Functions: Theory and Applications, Volume 9861, pp 46-55, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-45559-4_5〉
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https://hal-emse.ccsd.cnrs.fr/emse-01364869
Contributeur : Florent Breuil <>
Soumis le : mardi 13 septembre 2016 - 09:20:06
Dernière modification le : jeudi 28 septembre 2017 - 01:12:01

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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. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. Springer International Publishing, Belief Functions: Theory and Applications, Volume 9861, pp 46-55, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-45559-4_5〉. 〈emse-01364869〉

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