Extension of the VIKOR method in a decomposed fuzzy environment for addressing inconsistencies in decision-making


Arslan Ö., ÇEBİ S.

OPSEARCH, 2026 (ESCI, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2026
  • Doi Number: 10.1007/s12597-025-01080-z
  • Journal Name: OPSEARCH
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, ABI/INFORM, INSPEC, MathSciNet, zbMATH
  • Keywords: Cold food supply chain, Decision-making, Decomposed fuzzy sets, Intuitionistic fuzzy sets, Multi-criteria decision making, VIKOR
  • Yıldız Technical University Affiliated: Yes

Abstract

This paper introduces a novel extension of the VIseKriterijumska Optimizacija I Kompromisno Resenje extended with Decomposed Fuzzy Sets, denoted as “Decomposed Fuzzy VIKOR,” which aims to address the challenges of inconsistent responses and indecision among decision-makers. As a recent contribution to fuzzy set extensions, Decomposed Fuzzy Set differ from other extensions by employing bidirectional questioning. The aim of bidirectional questioning is to allow decision-makers to provide responses by posing questions that are equivalent in meaning but represent two opposing perspectives: functional (optimistic) and dysfunctional (pessimistic). In this study, six criteria obtained from a comprehensive literature review are considered, and the Decomposed Fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje method is applied to a cold food supply chain to identify the most suitable alternatives based these criteria. The results are compared with those obtained using the Intuitionistic Fuzzy VIseKriterijumska Optimizacija I Kompromisno Resenje method, revealing the impact of different scenarios on optimal alternatives. The paper concludes by emphasizing the significance of integrating various multi-criteria decision-making methods with Decomposed Fuzzy Set for real-life problem-solving.