Decision-Aid Methods (DAMs) such as the CostBenefit Analysis (CBA) and the Analytical Hierarchy Process (AHP) help decision-makers to rank alternatives or to choose the best one among several potential ones

Batton-Hubert, M.

Carladous, S.

Dezert, J.

Han, D.

Tacnet, J.-M.

English

International audienceDecision-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

Carladous, Simon

Tacnet, Jean-Marc

Dezert, Jean

Han, Deqiang

Batton-Hubert, Mireille

HAL-EMSE

Evaluation of Efficiency of Torrential Protective Structures With New BF-TOPSIS Methods

HAL Descartes

International audienceDecision-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

Tacnet, J.M.

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

https://zenodo.org/record/235669/files/EvaluationOfEf%EF%AC%81ciencyOfTorrential.pdf

Evaluation of Efficiency of Torrential Protective Structures With New BF-TOPSIS Methods

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HAL-EMSE

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HAL Descartes