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University's recruitment process using Fermatean fuzzy Einstein prioritized aggregation operators

Authors
Barokab, Omar M.Khan, AsgharKhan, Sher AfzalJun, Young BaeRushdi, Ali Muhammad Ali
Issue Date
Aug-2023
Publisher
IOS Press BV
Keywords
FFE prioritized average (FFEPA) operator; FFE prioritized geometric (FFEPG) operator; FFE prioritized ordered weighted average (FFEPOWA) operator; FFE prioritized ordered weighted geometric (FFEPOWG) operator; FFE prioritized weighted average (FFEPWA) operator; FFE prioritized weighted geometric (FFEPWG) operator; MADM
Citation
Journal of Intelligent and Fuzzy Systems, v.45, no.3, pp 3985 - 4008
Pages
24
Indexed
SCIE
SCOPUS
Journal Title
Journal of Intelligent and Fuzzy Systems
Volume
45
Number
3
Start Page
3985
End Page
4008
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/68756
DOI
10.3233/JIFS-230681
ISSN
1064-1246
1875-8967
Abstract
In comparison to intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS), the Fermatean Fuzzy Set (FFS) is more efficacious in dealing ambiguous and imprecise data when making decisions. In this paper, we propose unique operations on Fermatean fuzzy information based on prioritized attributes, as well as Einstein's operations based on adjusting the priority of characteristics in the Fermatean fuzzy environment. We use Einstein's operations with prioritized attributes to propose new operations on Fermatean fuzzy numbers (FFNs), and then introduce basic aspects of these operations. Motivated by Einstein operations on FFNs, we develop Fermatean fuzzy Einstein prioritized arithmetic and geometric aggregation operators (AOs). In the first place, the concepts of a Fermatean fuzzy Einstein prioritized average (FFEPA), Fermatean fuzzy Einstein prioritized weighted average (FFEPWA), and Fermatean fuzzy Einstein prioritized ordered weighted average (FFEPOWA)-operators are introduced. Then, Fermatean fuzzy Einstein prioritized geometric (FFEPG) operator, Fermatean fuzzy Einstein prioritized weighted geometric (FFEPWG) operator, Fermatean fuzzy Einstein prioritized ordered weighted geometric (FFEPOWG) operator, and Fermatean fuzzy Einstein hybrid geometric (FFEHG) operator are given. We also go through some of the key characteristics of these operators. Moreover, using these operators, we establish algorithm for addressing a multiple attribute decision-making issue using Fermatean fuzzy data and attribute prioritizing. The case of university faculty selection is taken as a scenario to analyze and demonstrate the applicability of our suggested model. In addition, a comparison of the proposed and current operators is conducted, and the impact of attribute priority on the ranking order of alternatives is explored. © 2023 - IOS Press. All rights reserved.
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