A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Chapitre D'ouvrage Année : 2016

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

Résumé

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.
Fichier principal
Vignette du fichier
DTIM16059.1479481517_postprint.pdf (3.75 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01408815 , version 1 (13-09-2016)
hal-01408815 , version 2 (07-12-2016)

Identifiants

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⟩
700 Consultations
94 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More