Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets

Azadeh Zahedi Khameneh, Adem Kilicman, Abdul Razak Salleh

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS) to express decision makers' opinions in real-world decision problems. Until now, different researchers have designed different algorithms for ranking objects in order to select the best option in group decision-making problems under intuitionistic fuzzy soft environment. In this paper, an adjustable algorithm is developed to handle the problem of group decision-making based on a preference relationship of IFSSs. The effectiveness of this approach in comparison with some existing methods is also demonstrated. To achieve the higher level of compatibility with the real-world problems, the proposed algorithm here is extended to the weighted case.

Original languageEnglish
Pages (from-to)123-139
Number of pages17
JournalJournal of Intelligent and Fuzzy Systems
Volume34
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

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Soft Set
Fuzzy Sets
Group Decision Making
Decision making
Decision Making
Decision problem
Compatibility
Ranking
Express
Relationships

Keywords

  • Fuzzy soft set
  • intuitionistic fuzzy soft set
  • multi-attribute group decision-making
  • preference relationship
  • weighted intuitionistic fuzzy soft set

ASJC Scopus subject areas

  • Statistics and Probability
  • Engineering(all)
  • Artificial Intelligence

Cite this

Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets. / Khameneh, Azadeh Zahedi; Kilicman, Adem; Salleh, Abdul Razak.

In: Journal of Intelligent and Fuzzy Systems, Vol. 34, No. 1, 01.01.2018, p. 123-139.

Research output: Contribution to journalArticle

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