CODAS method using Z-fuzzy numbers

Nurdan Tüysüz, Cengiz Kahraman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

 CODAS is a new multicriteria decision making method based on the maximum distances to negative ideal solutions, which are obtained from Euclidean and Taxicab distances. This paper develops a Z-fuzzy CODAS method based on restriction and reliability functions under uncertainty. We obtain the criteria weights from the Z-fuzzy pairwise comparison matrix. An illustrative application to supplier selection problem is also given. A comparative analysis is presented with ordinary fuzzy simple additive weighting (SAW) method.

Original languageEnglish
Pages (from-to)1649-1662
Number of pages14
JournalJournal of Intelligent and Fuzzy Systems
Volume38
Issue number2
DOIs
Publication statusPublished - 6 Feb 2020

Bibliographical note

Publisher Copyright:
© 2020 – IOS Press and the authors. All rights reserved

Keywords

  • CODAS
  • pairwise comparison
  • reliability
  • restriction function
  • SAW
  • supplier selection
  • Z-fuzzy

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