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

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.

Mots clés

MAPPING ER-MCDA BELIEF FUNCTIONS POSSIBILITY THEORY ER- MCDA FUZZY SETS

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Base de données [cs.DB]

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DTIM16059.1479481517_postprint.pdf (3.75 Mo)

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https://hal.science/hal-01408815

Soumis le : mercredi 7 décembre 2016-15:15:45

Dernière modification le : mardi 27 août 2024-12:47:24

Archivage à long terme le : mardi 21 mars 2017-13:46:01

Dates et versions

hal-01408815 , version 1 (13-09-2016)

hal-01408815 , version 2 (07-12-2016)

Identifiants

HAL Id : hal-01408815 , version 2
DOI : 10.1007/978-3-319-45559-4_5
IRSTEA : PUB00053657

Citer

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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