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

被引：0
作者：
V. Salsabeela
T. M. Athira
Sunil Jacob John
T. Baiju
机构：
[1] National Institute of Technology Calicut,Department of Mathematics
[2] Kunnamangalam Govt. Arts & Science College,Department of Mathematics
[3] Manipal Institute of Technology,Department of Mathematics
[4] Manipal Academy of Higher Education,undefined
来源：
Granular Computing | 2023年 / 8卷 / 5期
关键词：
Soft set; q-Rung orthopair fuzzy soft set; MCGDM; TOPSIS; VIKOR;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：1067 / 1080
页数：13
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  • [11] Chen SM(2020)Novel mcgdm with q-rung orthopair fuzzy soft sets and topsis approach under q-rung orthopair fuzzy soft topology J Intell Fuzzy Syst 39 571-599
  • [12] Chiou CH(2020)q-rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making Int J Intell Syst 35 3-25
  • [13] Cuong BC(2021)Decision making with spherical fuzzy sets Stud Fuzziness Soft Comput 392 1877-1903
  • [14] Kreinovich V(2022)The novel vikor methods for generalized pythagorean fuzzy soft sets and its application to children of early childhood in covid-19 quarantine Neural Comput Appl 34 494-528
  • [15] Dwivedi G(2020)Consensus reaching process for fuzzy behavioral topsis method with probabilistic linguistic q-rung orthopair fuzzy set based on correlation measure Int J Intell Syst 35 2104-2121
  • [16] Srivastava RK(2019)The distance measures between q-rung orthopair hesitant fuzzy sets and their application in multiple criteria decision making Int J Intell Syst 34 1-21
  • [17] Srivastava SK(2020)The reference ideal topsis method for linguistic q-rung orthopair fuzzy decision making based on linguistic scale function J Intell Fuzzy Syst (Preprint) 393 1249-1275
  • [18] Eraslan S(2021)Entropy measure and topsis method based on correlation coefficient using complex q-rung orthopair fuzzy information and its application to multi-attribute decision making Soft Comput 25 19-31
  • [19] Eraslan S(1999)Soft set theory—first results Comput Math Appl 37 6937-6957
  • [20] Karaaslan F(2019)Pythagorean fuzzy soft mcgdm methods based on topsis, vikor and aggregation operators J Intell Fuzzy Syst 37 514-529
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