An axiomatic approach to the estimation of interval-valued preferences in multi-criteria decision modeling

Camilo Franco de los Ríos, Jens Leth Hougaard, Kurt Nielsen

Abstract

In this paper we explore multi-dimensional preference estimation from imprecise (interval) data. Focusing on different multi-criteria decision models, such as PROMETHEE, ELECTRE, TOPSIS or VIKOR, and their extensions dealing with imprecise data, preference modeling is examined with respect to a suggested
set of axioms. Their performance is evaluated and some specific problems are identified, regarding the satisfaction of the proposed axioms as well as some difficulty on how to properly understand the uncertainty of the interval-valued outcome and its respective preference situation. In consequence, the Weighted Overlap Dominance (WOD) method is examined, which has been explicitly designed for interval data, thus satisfying the proposed axioms, and clearly
identifying the preference relational situation for all pairs of alternatives.
Original languageEnglish
Publication date30 Aug 2017
Number of pages6
Publication statusPublished - 30 Aug 2017
EventJoint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems - Otsu, Shiga, Japan
Duration: 27 Jun 201730 Jun 2017

Conference

ConferenceJoint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
Country/TerritoryJapan
CityOtsu, Shiga
Period27/06/201730/06/2017

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