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Fermatean fuzzy linguistic weighted averaging/geometric operators based on modified operational laws and their application in multiple attribute group decision-making
Verma, R. A Decision-Making Approach Based on New Aggregation Operators under Fermatean Fuzzy Linguistic Information Environment. Axioms2021, 10, 113.
Verma, R. A Decision-Making Approach Based on New Aggregation Operators under Fermatean Fuzzy Linguistic Information Environment. Axioms 2021, 10, 113.
Verma, R. A Decision-Making Approach Based on New Aggregation Operators under Fermatean Fuzzy Linguistic Information Environment. Axioms2021, 10, 113.
Verma, R. A Decision-Making Approach Based on New Aggregation Operators under Fermatean Fuzzy Linguistic Information Environment. Axioms 2021, 10, 113.
Abstract
Fermatean fuzzy linguistic (FFL) set theory provides an efficient tool for modeling a higher level of uncertain and imprecise information, which cannot be represented using intuitionistic fuzzy linguistic (IFL)/Pythagorean fuzzy linguistic (PFL) sets. On the other hand, the linguistic scale function is the better way to consider the semantics of the linguistic terms during the evaluation process. In the present paper, we first define some new modified operational laws for Fermatean fuzzy linguistic numbers (FFLNs) based on linguistic scale function (LSF) to overcome the shortcomings of the existing operational laws and prove some important mathematical properties of them. Based on it, the work defines several new aggregation operators (AOs), namely, the FFL-weighted averaging (FFLWA) operator, the FFL-weighted geometric (FFLWG) operator, the FFL-ordered weighted averaging (FFLOWA) operator, the FFL-ordered weighted geometric (FFLOWG) operator, the FFL-hybrid averaging (FFLHA) operator and the FFL-hybrid geometric (FFLHG) operator under FFL environment. Several properties of these AOs are investigated in detail. Further, based on these operators, a multiple attribute group decision-making (MAGDM) approach with FFL information is developed. Finally, to illustrate the effectiveness of the present approach, a real-life supplier selection problem is presented where the evaluation information of the alternatives is given in terms of FFLNs.
Keywords
Fermatean fuzzy set; Fermatean fuzzy linguistic set; Fermatean fuzzy linguistic number; MAGDM; supplier selection
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
