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Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods

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.
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https://hal.inrae.fr/hal-02605952
Contributor : Migration Irstea Publications <>
Submitted on : Saturday, May 16, 2020 - 11:40:20 AM
Last modification on : Tuesday, September 7, 2021 - 3:54:53 PM

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  • HAL Id : hal-02605952, version 1
  • IRSTEA : PUB00053659

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S. Carladous, J.M. Tacnet, J. Dezert, D. Han, M. Batton-Hubert. Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods. 19th International Conference on Information Fusion, Jul 2016, Heidelberg, Germany. pp.8. ⟨hal-02605952⟩

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