Generalisations of SDM Methods in fpfs-Matrices Space to Render Them Operable in ifpifs-Matrices Space and Their Application to Performance Ranking of the Noise-Removal Filters

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dc.contributor.authorArslan, Burak
dc.contributor.authorAydın, Tuğçe
dc.contributor.authorMemış, Samet
dc.contributor.authorEnginoğlu, Serdar
dc.date.accessioned2025-01-27T19:37:16Z
dc.date.available2025-01-27T19:37:16Z
dc.date.issued2021
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractRecently, the concept of intuitionistic fuzzy parameterized intuitionistic fuzzy\rsoft matrices (ifpifs-matrices) has allowed to mathematically model some problems in which\rthe parameters and alternatives exhibit intuitionistic fuzzy uncertainties. To this end, the\rpresent study aims to generalise 24 soft decision-making (SDM) methods operating in the\rfuzzy parameterized fuzzy soft matrices space with a single fpfs-matrix to the ifpifs-matrices\rspaces. Afterwards, we propose five test scenarios to analyse whether the SDM methods\rconstructed by ifpifs-matrices consistently work. Moreover, we make performance\rcomparisons of the generalised SDM methods successful in the five test scenarios by\rapplying them to the performance-based value assignment (PVA) problem of the wellknown\rnoise-removal filters. Finally, we discuss the need for further research.
dc.identifier.doi10.53570/jnt.989335
dc.identifier.endpage116
dc.identifier.issn2149-1402
dc.identifier.issue36
dc.identifier.startpage88
dc.identifier.trdizinid535317
dc.identifier.urihttps://doi.org/10.53570/jnt.989335
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/535317
dc.identifier.urihttps://hdl.handle.net/20.500.12428/17175
dc.identifier.volume2021
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of New Theory
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TRD_20250125
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.titleGeneralisations of SDM Methods in fpfs-Matrices Space to Render Them Operable in ifpifs-Matrices Space and Their Application to Performance Ranking of the Noise-Removal Filters
dc.typeArticle

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