T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making

Harish, Garg and Kifayat, Ullah and Tahir, Mahmood and Nasruddin, Hassan and Naeem, Jan (2021) T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making. T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making. ISSN 1868-5137

Text (Published Version) Garg2021_Article_T-sphericalFuzzyPowerAggregati.pdf - Published Version Download (1MB)

Abstract

The paper aims to present the concept of power aggregation operators for the T-spherical fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting membership, abstinence, non-membership and refusal degree, to deal with the uncertain information as compared to other existing fuzzy sets. On the other hand, the relationship between the different pairs of the attributes are well recorded in terms of power operators. Thus, keeping these advantages of T-SFSs and power operator, the objective of this work is to define several weighted averaging and geometric power aggregation operators. The stated operators named as T-spherical fuzzy weighted, ordered weighted, hybrid averaging and geometric operators for the collection of the T-SFSs. The various properties and the special cases of them are also derived. Further, the consequences of proposed new power aggregation operators are studied in view of some constraints. Finally, a multiple attribute decision making algorithm, based on the proposed operators, is established to solve the problems with uncertain information and illustrate with numerical examples. A comparative study, superiority analysis and discussion of the proposed approach are furnished to confirm the approach.

Item Type:	Article
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Basic Sciences Lahore
Depositing User:	Dr. Kifayat Ullah
Date Deposited:	11 Feb 2021 06:14
Last Modified:	11 Feb 2021 06:14
URI:	http://research.riphah.edu.pk/id/eprint/1247

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