Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems

Bhagawati Prasad Joshi*, Alexander Gegov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The concept of q-rung orthopair fuzzy set (q-ROFS) is the extension of intuitionistic fuzzy set (IFS) in which the sum of the qth power of the support for and the qth power of the support against is bounded by one. Therefore, the q-ROFSs are an important way to express uncertain information in broader space, and they are superior to the IFSs and the Pythagorean fuzzy sets (PFSs). In this paper, the familiarity degree of the experts with the evaluated objects is incorporated to the initial assessments under q-rung orthopair fuzzy environment. For this, some aggregation operators are proposed to combine these two types of information. Their some important properties are also well proved. Furthermore, these developed operators are utilized in a multi criteria decision making approach and demonstrated with a real life problem of customers’ choice. Then, the experimental results are compared with other existing methods to show its superiority over recent research works.
Original languageEnglish
Pages (from-to)125-149
Number of pages22
JournalInternational Journal of Intelligent Systems
Volume35
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Intuitionistic fuzzy set
  • Pythagorean fuzzy set
  • q-rung orthopair fuzzy set
  • MCDM problems
  • confidence levels

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