Paper Info
Title
Group decision-making with Fermatean fuzzy soft expert knowledge
Abstract
With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production technologies. Demand for solar panel systems is soaring, thus provoking the arrival of many new manufacturers. Sale dealers or suppliers face an uncertain problem to choose the most adequate technological solution. To effectively address such kind of issues, in this paper we propose the Fermatean fuzzy soft expert set model by combining Fermatean fuzzy sets and soft expert sets. We describe this hybrid model with numerical examples. From a theoretical standpoint, we demonstrate some essential properties and define operations for this setting. They comprise the definitions of complement, union and intersection, the OR operation and the AND operation. Concerning practice in this new environment, we provide an algorithm for multi-criteria group decision making whose productiveness and authenticity is dutifully tested. We explore a practical application of this approach (that is, the selection of a suitable brand of solar panel system). Lastly, we give a comparison of our model with certain related mathematical tools, including fuzzy and intuitionistic fuzzy soft expert set models.
Year
DOI
Venue
2022
10.1007/s10462-021-10119-8
Artificial Intelligence Review
Keywords
DocType
Volume
Fermatean fuzzy soft expert set, Algorithm, Solar panel system, MCGDM
Journal
55
Issue
ISSN
Citations 
7
0269-2821
0
PageRank 
References 
Authors
0.34
31
4
Name
Order
Citations
PageRank
Muhammad Akram16315.02
Ghous Ali222.52
José C. R. Alcantud333637.04
Riaz, Aneesa400.34