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Erschienen in: Soft Computing 3/2011

01.03.2011 | Original Paper

Extension of the ELECTRE method based on interval-valued fuzzy sets

verfasst von: Behnam Vahdani, Hasan Hadipour

Erschienen in: Soft Computing | Ausgabe 3/2011

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Abstract

Decision-making is the process of finding the best option among the feasible alternatives. In classical multiple criteria decision-making (MCDM) methods, the ratings and the weights of the criteria are known precisely. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper, the interval-valued fuzzy ELECTRE method is presented aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy set concepts. For the purpose of proving the validity of the proposed model, we present a numerical example and build a practical maintenance strategy selection problem.

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Metadaten
Titel
Extension of the ELECTRE method based on interval-valued fuzzy sets
verfasst von
Behnam Vahdani
Hasan Hadipour
Publikationsdatum
01.03.2011
Verlag
Springer-Verlag
Erschienen in
Soft Computing / Ausgabe 3/2011
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-010-0563-5

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