New belief function based methods for multi-criteria decision-making

Tacnet, J.M. ; Dezert, J.

Type de document
Communication scientifique avec actes
Langue
Anglais
Affiliation de l'auteur
IRSTEA GRENOBLE UR ETGR FRA ; ONERA PALAISEAU FRA
Année
2012
Résumé / Abstract
Any decision is closely linked to the quality and availability of information. Innovative methodologies dealing with imperfect information provided by more or less reliable and conflicting sources are proposed to help decision-makers. Our methods combine new uncertainty theories within Multi-Criteria Decision-Making methods. In our evidential reasoning based approach for multi-criteria decision analysis, we use the fuzzy sets, the possibility and belief function theories as conceptual analytical frameworks. In DSmT-AHP, we replace the initial AHP aggregation principles by a fusion process with the introduction of discounting factors able to discriminate importance and reliability of criteria. In our COWA-ER, we propose a cautious Ordered Weighted Averaging method for multi-criteria decision making under uncertainty. All these methods fit well in the domain of expert assessment for the context of natural hazards in mountains. We present a synthesis of the three aforementioned methods which are detailed in papers listed in the bibliography.
Congrès
Euro Working Group Workshops, EWG-DSS 2011, 30/11/2011 - 01/12/2011, Paris, FRA
Document d'origine
Decision Support Systems – Collaborative Models and Approaches in Real Environments. Jorge E. Hernández, Pascale Zarate, Fátima Dargam, Boris Deliba¨ić, Shaofeng Liu, Rita Ribeiro (eds.)
Editeur
Springer

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