Applying ER-MCDA and BF-TOPSIS to decide on effectiveness of torrent protection
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
Experts take into account several criteria to assess the effectiveness of torrential flood protection systems. In practice, scoring each criterion is imperfect. Each system is assessed choosing a qualitative class of effectiveness among several such classes (high, medium, low, no). Evidential Reasoning for Multi-Criteria Decision-Analysis (ER-MCDA) approach can help formalize this Multi-Criteria Decision- Making (MCDM) problem but only provides a coarse ranking of all systems. The recent Belief Function-based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) methods give a finer ranking but are limited to perfect scoring of criteria. Our objective is to provide a coarse and a finer ranking of systems according to their effectiveness given the imperfect scoring of criteria. Therefore we propose to couple the two methods using an intermediary decision and a quantification transformation step. Given an actual MCDM problem, we apply the ER-MCDA and its coupling with BF-TOPSIS, showing that the final fine ranking is consistent with a previous coarse ranking in this case.
Belief Functions: Theory and Applications 4th International Conference, BELIEF 2016, 21/09/2016 - 23/09/2016, Prague, CZE