Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods
Carladous, S. ; Tacnet, J.M. ; Dezert, J. ; Han, D. ; Batton-Hubert, M.
Type de document
Communication scientifique avec actes
Affiliation de l'auteur
IRSTEA GRENOBLE UR ETGR FRA ; IRSTEA GRENOBLE UR ETGR FRA ; ONERA PALAISEAU FRA ; XI'AN JIAOTONG UNIVERSITY CHN ; ENSM SAINT ETIENNE FRA
Résumé / Abstract
Decision-Aid Methods (DAMs) such as the Cost- Benefit Analysis (CBA) and the Analytical Hierarchy Process (AHP) help decision-makers to rank alternatives or to choose the best one among several potential ones. The new Belief Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) methods have been recently developed for Multi-Criteria Decision-Making problems. In this paper, we compare CBA, AHP and BF-TOPSIS methods through an actual application case to natural risks in mountains. The CBA is the most used approach but is limited. Classical Multi-Criteria Decision-Aid methods (MCDAs) such as the AHP help to go further. The BF-TOPSIS methods notably show a robustness to rank reversal problems in the problem under concern, with a tractable complexity. Moreover, some steps of these new methods can be included in other MCDAs developed under the belief function theory framework.
19th International Conference on Information Fusion, 05/07/2016 - 08/07/2016, Heidelberg, DEU