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A Novel Multicriteria Decision-Making Approach for Einstein Weighted Average Operator under Pythagorean Fuzzy Hypersoft Environment

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dc.contributor.author Sunthrayuth, Pongsakorn
dc.contributor.author Jarad, Fahd
dc.contributor.author Majdoubi, Jihen
dc.contributor.author Zulqarnain, Rana Muhammad
dc.contributor.author Iampan, Aiyared
dc.contributor.author Siddique, Imran
dc.date.accessioned 2022-06-21T07:30:16Z
dc.date.available 2022-06-21T07:30:16Z
dc.date.issued 2022-05-09
dc.identifier.citation Sunthrayuth, Pongsakorn...et al. (2022). "A Novel Multicriteria Decision-Making Approach for Einstein Weighted Average Operator under Pythagorean Fuzzy Hypersoft Environment", JOURNAL OF MATHEMATICS, Vol. 2022. tr_TR
dc.identifier.issn 2314-4629
dc.identifier.uri http://hdl.handle.net/20.500.12416/5686
dc.description.abstract The experts used the Pythagorean fuzzy hypersoft set (PFHSS) in their research to discourse ambiguous and vague information in decision-making processes. The aggregation operator (AO) plays a prominent part in the sensitivity of the two forefront loops and eliminates anxiety from that perception. The PFHSS is the most influential and operative extension of the Pythagorean fuzzy soft set (PFSS), which handles the subparameterized values of alternatives. It is also a generalized form of Intuitionistic fuzzy hypersoft set (IFHSS) that provides better and more accurate assessments in the decision-making (DM) process. In this work, we present some operational laws for Pythagorean fuzzy hypersoft numbers (PFHSNs) and then formulate Pythagorean fuzzy hypersoft Einstein weighted average (PFHSEWA) operator based on developed operational laws. We discuss essential features such as idempotency, boundedness, and homogeneity for the proposed PFHSEWA operator. Furthermore, a DM approach has been developed based on the built-in operator to address multicriteria decision-making (MCDM) issues. A numerical case study of decision-making problems in real-life agricultural farming is considered to validate the settled technique's dominance and applicability. The consequences display that the planned model is more operative and consistent to handle inexact data based on PFHSS. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1155/2022/1951389 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.title A Novel Multicriteria Decision-Making Approach for Einstein Weighted Average Operator under Pythagorean Fuzzy Hypersoft Environment tr_TR
dc.type article tr_TR
dc.relation.journal JOURNAL OF MATHEMATICS tr_TR
dc.contributor.authorID 234808 tr_TR
dc.identifier.volume 2022 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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