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AHP and uncertainty theories for decision making using the ER-MCDA methodology

Abstract : In this paper, we present the ER-MCDA methodology for multi-criteria decision-making based on imperfect information coming from more or less reliable and conflicting sources. The Analytic Hierarchy Process (AHP), Fuzzy Sets, Possibility and Belief Functions theories are combined to take a decision based on imprecise and uncertain evaluations of quantitative, qualitative criteria. Classical aggregation of criteria is replaced by a two-step fusion process using advanced fusion rules based on the Dezert-Smarandache Theory (DSmT) that allows to make a difference between importance, reliability and uncertainty of information sources and contents.
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Submitted on : Monday, January 2, 2012 - 11:08:12 AM
Last modification on : Monday, May 18, 2020 - 2:35:20 PM
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  • HAL Id : hal-00655751, version 1
  • IRSTEA : PUB00034294


J.M. Tacnet, J. Dezert, Mireille Batton-Hubert. AHP and uncertainty theories for decision making using the ER-MCDA methodology. International Symposium on Analytic Hierarchy / Network Process, Jun 2011, Sorrento, Italy. 6 p. ⟨hal-00655751⟩



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