Enhancing Multi-Attribute Decision Making with Pythagorean Fuzzy Hamacher Aggregation Operators
Journal Title: Journal of Industrial Intelligence - Year 2023, Vol 1, Issue 1
Abstract
The attention of many researchers has been drawn to Pythagorean fuzzy information, which involves Pythagorean fuzzy numbers and their aggregation operators. In this study, the concept of the Pythagorean fuzzy set is discussed, along with the Hamacher t-norm and t-conorm operators. Furthermore, novel aggregation operators are developed using the operational rules of the Hamacher t-norm and t-conorm. The primary objective of this article is to develop a multi-attribute decision-making method in a Pythagorean fuzzy environment using Pythagorean fuzzy Hamacher aggregation operators. It is noted that the Hamacher operator, which is a generalization of the algebraic Einstein operator and contains a parameter, is more potent than some existing operators. Finally, an example of an enterprise application software selection problem is presented to demonstrate the proposed method.
Authors and Affiliations
Tapas Kumar Paul, Chiranjibe Jana, Madhumangal Pal
Keywords
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- EP ID EP732415
- DOI 10.56578/jii010103
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