DSpace Repository

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

Show simple item record

dc.contributor.author Zulqarnain, Rana Muhammad
dc.contributor.author Siddique, Imran
dc.contributor.author Jarad, Fahd
dc.contributor.author Hamed, Y.S.
dc.contributor.author Abualnaja, Khadijah M.
dc.contributor.author Iampan, Aiyared
dc.date.accessioned 2024-03-18T11:47:44Z
dc.date.available 2024-03-18T11:47:44Z
dc.date.issued 2022
dc.identifier.citation Zulqarnain, 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. tr_TR
dc.identifier.issn 23148896
dc.identifier.uri http://hdl.handle.net/20.500.12416/7601
dc.description.abstract The 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. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1155/2022/1358675 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.title Einstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Making tr_TR
dc.type article tr_TR
dc.relation.journal Journal of Function Spaces tr_TR
dc.contributor.authorID 234808 tr_TR
dc.identifier.volume 2022 tr_TR
dc.identifier.startpage 1 tr_TR
dc.identifier.endpage 21 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü tr_TR


Files in this item

This item appears in the following Collection(s)

Show simple item record