A New Integrated FUCOM-CODAS Framework with Fermatean Fuzzy Information for Multi-Criteria Group Decision-Making

被引:41
|
作者
Biswas, Sanjib [1 ]
Pamucar, Dragan [2 ]
Kar, Samarjit [3 ]
Sana, Shib Sankar [4 ]
机构
[1] Calcutta Business Sch, Decis Sci & Operat Management Area, Kolkata 743503, India
[2] Univ Def, Mil Acad, Dept Logist, Belgrade 11000, Serbia
[3] Natl Inst Technol, Dept Math, Durgapur 713209, India
[4] Kishore Bharati Bhagini Nivedita Coll, Dept Math, Kolkata 700060, India
来源
SYMMETRY-BASEL | 2021年 / 13卷 / 12期
关键词
smartphone brand selection; UTAUT2 (unified theory of acceptance and use of technology) model; full consistency method (FUCOM); combinative distance based assessment (CODAS); Fermatean fuzzy set (FFS); linguistics scale; multi-criteria group decision-making (MAGDM); DISTANCE-BASED ASSESSMENT; EXTENDING UTAUT2; USER ACCEPTANCE; UNIFIED THEORY; SELECTION; CRITERIA; TECHNOLOGY; SMARTPHONES; OPERATORS; INTENTION;
D O I
10.3390/sym13122430
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Smartphones have become an inevitable part of every facet of modern society. The selection of a particular smartphone brand from multiple options that are available is a complex and dynamic decision-making problem, involving multiple conflicting criteria that are associated with imprecise asymmetric information imposed by the uncertainty of the consumers. In this paper, we propose a novel hybrid full consistency method (FUCOM) and a combinative distance based assessment (CODAS) based on the multi-criteria group decision-making (MAGDM) framework in the Fermatean fuzzy (FF) domain for smartphone brand selection. We derive the criteria using the UTAUT2 (unified theory of acceptance and ese of technology) model. A group of 15 decision makers (DMs) participated in our study. We compare 14 leading smartphone brands in India and find that the brands having superior features of a good quality and selling a brand image at a affordable price outperform other smartphones. To check the validity of our framework, we compare the results using extant multi-criteria decision-making (MCDM) models. We observe our model provides a consistent solution. Furthermore, we carry out a sensitivity analysis for ascertaining the robustness and stability of the results generated by our model. The results of the sensitivity analysis show that our proposed framework delivers a stable and robust solution.
引用
收藏
页数:36
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