2023
DOI: 10.56578/jii010103
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Enhancing Multi-Attribute Decision Making with Pythagorean Fuzzy Hamacher Aggregation Operators

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 fuz… Show more

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Cited by 5 publications
(3 citation statements)
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“…The study's findings offer important information that may be used to the field of decision making regarding renewable energy. Advanced decision-making methods, including Fermatean fuzzy aggregation operators [67] and Pythagorean fuzzy Hamacher aggregation operators [68], have been highlighted along with their applications and contributions to various fields, including the FMEA-QFD for risk assessment in distribution processes [69]. Dede and Zorlu [70] evaluated geoheritage by employing the entropy-based WASPAS model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The study's findings offer important information that may be used to the field of decision making regarding renewable energy. Advanced decision-making methods, including Fermatean fuzzy aggregation operators [67] and Pythagorean fuzzy Hamacher aggregation operators [68], have been highlighted along with their applications and contributions to various fields, including the FMEA-QFD for risk assessment in distribution processes [69]. Dede and Zorlu [70] evaluated geoheritage by employing the entropy-based WASPAS model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In interval-valued intuitionistic fuzzy structures, Liu et al [42] studied generalised Einstein aggregation operations, and in an Intuitionistic Fuzzy Set (IFS) framework, Xia and Wei [43] used Einstein hybrid operators. Fuzzy Pythagorean operator [45] , [46] , complex q-rung Orthopair fuzzy operator [47] , and fuzzy picture Einstein operator [44] are just a few examples of the Einstein operators that have been investigated by multiple authors in conjunction with fuzzy concepts.…”
Section: Introductionmentioning
confidence: 99%
“…For example, El-Morsy presented stock portfolio optimization in the environment of PFSs [24], while Rani et al explored the assessment of sustainable bioenergy technologies for agricultural residues [25]. Another interesting line of research is aggregation operators, the application of which was presented by Tapas Kumar et al, where they used Hamacher aggregation operators to improve the quality of decisions made in problems described on PFSs [26]. Moreover, further research in the Pythagorean fuzzy environment led to the emergence of new measures, like the similarity measure of Pythagorean fuzzy sets based on the Jaccard index [27] or aggregation operators for PFSs based on confidence levels [28].…”
Section: Introductionmentioning
confidence: 99%