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Conference papers

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.
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Contributor : Florent Breuil Connect in order to contact the contributor
Submitted on : Tuesday, September 13, 2016 - 9:15:02 AM
Last modification on : Friday, August 5, 2022 - 2:38:11 PM

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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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