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

Ali Fahmi, Cengiz Kahraman, Ümran Bilen

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)153-167
Number of pages15
JournalInternational Journal of Computational Intelligence Systems
Volume9
Issue number1
DOIs
Publication statusPublished - 2 Jan 2016

Bibliographical note

Publisher Copyright:
© 2016 the authors.

Keywords

  • computing with words (CWW)
  • ELECTRE method
  • hesitant fuzzy linguistic terms set (HFLTS)
  • Multiple criteria decision analysis (MCDA)
  • ordered weighted averaging (OWA)
  • outranking methods

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