Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection - Mines Saint-Étienne Access content directly
Conference Papers Year : 2016

Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection

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.

Dates and versions

emse-01364864 , version 1 (13-09-2016)

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Cite

Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Deqiang Han, Mireille Batton-Hubert. Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection. 4th International Conference on Belief Functions (BELIEF), Sep 2016, Prague, Czech Republic. pp.56-65, ⟨10.1007/978-3-319-45559-4_6⟩. ⟨emse-01364864⟩
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