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Journal of Applied LogicVolume 24, November 2017, Pages 85-96

50 years of fuzzy set theory and models for supplier assessment and selection: A literature review(Article)(Open Access)

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  • aUniversity of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, Novi Sad, 21000, Serbia
  • bLames Ltd., Jarački put bb., Sremska Mitrovica, 22000, Serbia
  • cUniversity of Novi Sad, Faculty of Medicine, Hajduk Veljkova 1–9, Novi Sad, 21000, Serbia

Abstract

Supplier assessment and selection mapping as an essential component of supply chain management are usually multi-criteria decision-making problems. Decision making is the thought process of selecting a logical choice from the available options. This is generally made under fuzzy environment. Fuzzy decision-making is a decision process using the sets whose boundaries are not sharply defined. The aim of this paper is to show how fuzzy set theory, fuzzy decision-making and hybrid solutions based on fuzzy can be used in the various models for supplier assessment and selection in a 50 year period. © 2016 The Authors

Author keywords

Fuzzy logicFuzzy set theoryLogisticsSupplier assessmentSupplier selectionSupply chainUncertainty

Indexed keywords

Engineering controlled terms:Decision makingDecision theoryFuzzy logicFuzzy setsLogisticsSet theorySupply chain managementSupply chains
Engineering uncontrolled termsDecision processFuzzy Decision makingFuzzy environmentsLiterature reviewsMulti-criteria decision making problemsSupplier assessmentSupplier selectionUncertainty
Engineering main heading:Fuzzy set theory
  • ISSN: 15708683
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1016/j.jal.2016.11.016
  • Document Type: Article
  • Publisher: Elsevier Ltd

  Simić, D.; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, Novi Sad, Serbia;
© Copyright 2017 Elsevier B.V., All rights reserved.

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