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Soft ELECTRE TRI outranking method based on belief functions

Abstract : Main decisions problems can be described into choice, ranking or sorting of a set of alternatives. The classical ELECTRE TRI (ET) method is a multicriteria-based outranking sorting method which allows to assign alternatives into a set of predetermined categories. ET method deals with situations where indifference is not transitive and solutions can sometimes appear uncomparable. ET suffers from two main drawbacks: 1) it requires an arbitrary choice of \lambda-cut step to perform the outranking of alternatives versus profiles of categories, and 2) an arbitrary choice of attitude for final assignment of alternatives into the categories. ET finally gives a final binary (hard) assign- ment of alternatives into categories. In this paper we develop a soft version of ET method based on belief functions which circumvents the aforementioned drawbacks of ET and allows to obtain both a soft (probabilistic) assignment of alternatives into categories and an indicator of the consistency of the soft solution. This Soft-ET approach is applied on a concrete example to show how it works and to compare it with the classical ET method.
Keywords : BELIEF FUNCTIONS
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Conference papers
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https://hal.inrae.fr/hal-02605924
Contributor : Migration Irstea Publications <>
Submitted on : Saturday, May 16, 2020 - 11:37:57 AM
Last modification on : Tuesday, September 7, 2021 - 3:54:53 PM

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  • HAL Id : hal-02605924, version 1
  • IRSTEA : PUB00053623

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J. Dezert, J.M. Tacnet. Soft ELECTRE TRI outranking method based on belief functions. Fusion 2012 - 15th International conference on Information Fusion, Jul 2012, Singapour, Singapore. pp.8. ⟨hal-02605924⟩

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