A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

Abstract : Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision process based on imperfect information coming from more or less reliable and conflicting sources. A methodology mixing the Analytic Hierarchy Process (AHP), a multi-criteria aid-decision method, and information fusion using Belief Function Theory is described. Fuzzy Sets and Possibilities theories allow to transform quantitative and qualitative criteria into a common frame of discernment for decision in Dempster-Shafer Theory (DST) and Dezert-Smarandache Theory (DSmT) contexts. Main issues consist in basic belief assignments elicitation, conflict identification and management, fusion rule choices, results validation but also in specific needs to make a difference between importance and reliability and uncertainty in the fusion process.
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Communication dans un congrès
International Workshop on Belief Functions, Apr 2010, Brest, France. Belief Functions and Applications Society (BFAS), 6 p., 2010
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  • HAL Id : hal-00558279, version 1
  • IRSTEA : PUB00030649

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J.M. Tacnet, Mireille Batton-Hubert, J. Dezert. A two-step fusion process for multi-criteria decision applied to natural hazards in mountains. International Workshop on Belief Functions, Apr 2010, Brest, France. Belief Functions and Applications Society (BFAS), 6 p., 2010. 〈hal-00558279〉

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