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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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-01364869
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Submitted on : Tuesday, September 13, 2016 - 9:20:06 AM
Last modification on : Friday, May 10, 2019 - 10:02:03 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. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. pp 46-55, ⟨10.1007/978-3-319-45559-4_5⟩. ⟨emse-01364869⟩

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