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Einstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Making

dc.contributor.authorZulqarnain, Rana Muhammad
dc.contributor.authorSiddique, Imran
dc.contributor.authorJarad, Fahd
dc.contributor.authorHamed, Y.S.
dc.contributor.authorAbualnaja, Khadijah M.
dc.contributor.authorIampan, Aiyared
dc.contributor.authorID234808tr_TR
dc.date.accessioned2024-03-18T11:47:44Z
dc.date.available2024-03-18T11:47:44Z
dc.date.issued2022
dc.departmentÇankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of the Pythagorean fuzzy set (PFS), which contracts with parameterized values of the alternatives. It is a generalized form of the intuitionistic fuzzy soft set (IFSS), which provides healthier and more accurate evaluations through decision-making (DM). The main determination of this research is to prolong the idea of Einstein's aggregation operators for PFSS. We introduce the Einstein operational laws for Pythagorean fuzzy soft numbers (PFSNs). Based on Einstein operational laws, we construct two novel aggregation operators (AOs) such as Pythagorean fuzzy soft Einstein-weighted averaging (PFSEWA) and Pythagorean fuzzy soft Einstein-weighted geometric (PFSEWG) operators. In addition, important possessions of proposed operators, such as idempotency, boundedness, and homogeneity, are discussed. Furthermore, to validate the practicability of the anticipated operators, a multiple attribute group decision-making (MAGDM) method is developed. We intend innovative AOs considering the Einstein norms for PFSS to elect the most subtle business. Pythagorean fuzzy soft numbers (PFSNs) support us to signify unclear data in real-world perception. Furthermore, a numerical description is planned to certify the efficacy and usability of the projected method in the DM practice. The recent approach's pragmatism, usefulness, and tractability are validated through comparative exploration with the support of some prevalent studies.en_US
dc.identifier.citationZulqarnain, Rana Muhammad;...et.al. (2022). "Einstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Making", Journal of Function Spaces, Vol.2022, pp.1-21.en_US
dc.identifier.doi10.1155/2022/1358675
dc.identifier.endpage21en_US
dc.identifier.issn23148896
dc.identifier.startpage1en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/7601
dc.identifier.volume2022en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Function Spacesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEinstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Makingtr_TR
dc.titleEinstein Aggregation Operators for Pythagorean Fuzzy Soft Sets With Their Application in Multiattribute Group Decision-Makingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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