Multiple criteria group decision making based on q-rung orthopair fuzzy soft sets

V. Salsabeela, T. M. Athira, Sunil Jacob John, T. Baiju

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


q-Rung orthopair fuzzy soft sets are a blend of recently developed q-rung orthopair fuzzy sets and soft sets which has got many advantages over similar structures such as Intuitionistic fuzzy soft sets, Pythagorean fuzzy soft sets, etc. TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), VIKOR (Vase Kriterijumska Optimizacija Kompromisno Resenje), and score based decision-making algorithms are well known in group multiple-criteria decision making. The main goal of this paper is to examine these techniques in the setting of q-rung orthopair fuzzy soft sets and to see how effective is these in overcoming the difficulties and uncertainties that contemporary theories face while dealing with the uncertainty. Besides providing three algorithms, each one is illustrated with examples related to the selection of medical clinics and the evaluation of psycho-linguistic schools. Further, the superiority and efficiency of the developed approach over the existing techniques is established via a comparative study.

Original languageEnglish
Pages (from-to)1067-1080
Number of pages14
JournalGranular Computing
Issue number5
Publication statusPublished - 09-2023

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Artificial Intelligence


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