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A signed distance based ranking approach with unknown fuzzy priority vectors for medical diagnosis involving interval type-2 trapezoidal pythagorean fuzzy preference relations

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dc.contributor.author Touqeer, Muhammad
dc.contributor.author Shaheen, Sadaf
dc.contributor.author Jabeen, Tahira
dc.contributor.author Sulaie, Saleh Al
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Ahmadian, Ali
dc.date.accessioned 2024-02-13T13:12:10Z
dc.date.available 2024-02-13T13:12:10Z
dc.date.issued 2022-01
dc.identifier.citation Touqeer, Muhammad;...et.al. (2022). "A signed distance based ranking approach with unknown fuzzy priority vectors for medical diagnosis involving interval type-2 trapezoidal pythagorean fuzzy preference relations", Operations Research Perspectives, Vol.9, pp.1-11. tr_TR
dc.identifier.issn 22147160
dc.identifier.uri http://hdl.handle.net/20.500.12416/7189
dc.description.abstract In many of our real life problems, we often come across situations where there is no information about the priority weights which make it difficult to analyze the objects under consideration. Instead of employing simple fuzzy sets, “interval type-2 trapezoidal pythagorean fuzzy preference relations (IT2TrPFPRs)” can be used which have better representational power and ability to cope with uncertain situations. The approach discussed in this article is an effective tool for managing multiple criteria group decision-making situations with completely unknown priority weights modeled as IT2TrPFPRs. To aggregate the opinion of multiple decision-makers, a hybrid averaging operation based on weighted averaging and ordered weighted averaging (OWA) operations is employed for a collective decision environment. To calculate the fuzzy priority weight vectors in case of completely unknown environment, we construct a non-linear optimization model. An integrated optimization model based on a new signed distance-based closeness coefficients approach is employed to determine the priority ranking of alternatives. Feasibility of the proposed technique is discussed with an implementation of patient centered medicine system for choosing the appropriate treatment method. Moreover, a comparative investigation with previous approaches is conducted to demonstrate the effectiveness of the given approach. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.orp.2022.100259 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject “Hybrid Averaging” (HA) Operation tr_TR
dc.subject “Interval Type 2 Trapezoidal Pythagorean Fuzzy Preference Relation” (IT2TrPFPR) tr_TR
dc.subject “Ordered Weighted Averaging (OWA) Operation” tr_TR
dc.subject “Signed-Based Distance Closeness Coefficient” (SDBCC) tr_TR
dc.title A signed distance based ranking approach with unknown fuzzy priority vectors for medical diagnosis involving interval type-2 trapezoidal pythagorean fuzzy preference relations tr_TR
dc.type article tr_TR
dc.relation.journal Operations Research Perspectives tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 9 tr_TR
dc.identifier.startpage 1 tr_TR
dc.identifier.endpage 11 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü tr_TR


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