Conflict distance-based variable precision Pythagorean fuzzy rough set in Pythagorean fuzzy decision systems with applications in decision making

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dc.authoridAllahviranloo, Tofigh/0000-0002-6673-3560
dc.authorwosidAllahviranloo, Tofigh/V-4843-2019
dc.contributor.authorSahoo, Lakshminarayan
dc.contributor.authorGuchhait, Sanchita
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorKumar, Jambi Ratna Raja
dc.contributor.authorTarambale, Manoj Ramesh
dc.contributor.authorCatak, Muammer
dc.date.accessioned2024-05-19T14:46:23Z
dc.date.available2024-05-19T14:46:23Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractReal-life decision-making problems are hard to handle by any single uncertainty method because of the complex and uncertain nature of the physical world and the human limitations in understanding it. Therefore, we naturally consider combining the benefits of various uncertainty theories to create a more effective hybrid soft decision-making method. Based on this idea, we use the variable precision rough sets (VPRSs) and Pythagorean fuzzy sets approach to build a new Pythagorean fuzzy rough set (PFRS) model. Since the information system is Pythagorean fuzzy, we use the Pythagorean fuzzy similarity measure to define the new type of distance based on conflict. Then, we merge this notion with the VPRSs to form a variable precision PFRS model and study its properties. We also propose an algorithm for attribute reduction based on this model and apply it to a case study to test its feasibility and performance. The results demonstrate that our model enhances the classification capability of previous models, and it achieves accurate classification by deriving the decision rules.en_US
dc.identifier.doi10.22436/jmcs.034.01.06
dc.identifier.endpage73en_US
dc.identifier.issn2008-949X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85187191757en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage65en_US
dc.identifier.urihttps://doi.org10.22436/jmcs.034.01.06
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5510
dc.identifier.volume34en_US
dc.identifier.wosWOS:001168158500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInt Scientific Research Publicationsen_US
dc.relation.ispartofJournal of Mathematics and Computer Science-Jmcsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectPythagorean Fuzzy Seten_US
dc.subjectRough Seten_US
dc.subjectConflict Distanceen_US
dc.subjectVariable Precision Rough Set.en_US
dc.titleConflict distance-based variable precision Pythagorean fuzzy rough set in Pythagorean fuzzy decision systems with applications in decision makingen_US
dc.typeArticleen_US

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