ELECTRE I Method Using Hesitant Linguistic Term Sets: An Application to Supplier Selection

Autor: Ali Fahmi, Cengiz Kahraman, Ümran Bilen
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Computational Intelligence Systems, Vol 9, Iss 1 (2016)
Druh dokumentu: article
ISSN: 18756891
1875-6883
DOI: 10.1080/18756891.2016.1146532
Popis: Decision making is a common process in human activities. Every person or organization needs to make decisions besides dealing with uncertainty and vagueness associated with human cognition. The theory of fuzzy logic provides a mathematical base to model the uncertainities. Hesitant fuzzy linguistic term set (HFLTS) creates an appropriate method to deal with uncertainty in decision making. Managerial decision making generally implies that decision making process conducts multiple and conflicting criteria. Multi criteria decision analysis (MCDA) is a widely applied decision making method. Outranking methods are one type of MCDA methods which facilitate the decision making process through comparing binary relations in order to rank the alternatives. Elimination et Choix Traduisant la Réalité (ELECTRE), means elimination and choice that translates reality, is an outranking method. In this paper, an extended version of ELECTRE I method using HFLTS is proposed. Finally, a real case problem is provided to illustrate the HFLTS-ELECTRE I method.
Databáze: Directory of Open Access Journals
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