Fuzzy parameterized fuzzy soft matrices and their application in decision-making

dc.contributor.authorEnginoğlu, Serdar
dc.contributor.authorÇağman, Naim
dc.date.accessioned2025-01-27T19:04:09Z
dc.date.available2025-01-27T19:04:09Z
dc.date.issued2020
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIn this study, we define the concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices) and present some of their basic properties. By using fpfs-matrices, we then suggest a new algorithm, i.e. Prevalence Effect Method (PEM), and apply this method to a performance-based value assignment, so that we can order noise removal filters regarding performance. The results show that PEM has a potential for several areas, such as machine learning and image processing. Finally, we discuss fpfs-matrices and PEM for further research. © Isik University, Department of Mathematics, 2020.
dc.identifier.endpage1115
dc.identifier.issn2146-1147
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85092203406
dc.identifier.scopusqualityQ3
dc.identifier.startpage1105
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13835
dc.identifier.volume10
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIsik University
dc.relation.ispartofTurkish World Mathematical Society Journal of Applied and Engineering Mathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectFpfs-matrices; Fuzzy sets; Prevalence effect method; Soft matrices; Soft sets
dc.titleFuzzy parameterized fuzzy soft matrices and their application in decision-making
dc.typeArticle

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