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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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Conference papers
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https://hal.inrae.fr/hal-02605951
Contributor : Migration Irstea Publications <>
Submitted on : Saturday, May 16, 2020 - 11:40:12 AM
Last modification on : Tuesday, September 7, 2021 - 3:54:53 PM

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  • HAL Id : hal-02605951, version 1
  • IRSTEA : PUB00053658

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S. Carladous, J.M. Tacnet, J. Dezert, D. Han, M. Batton-Hubert. Applying ER-MCDA and BF-TOPSIS to decide on effectiveness of torrent protection. Belief Functions: Theory and Applications 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. pp.10. ⟨hal-02605951⟩

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