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dc.contributor.authorPunithavalli, G.en_US
dc.contributor.authorAnandhkumar, Manien_US
dc.date.accessioned2024-08-26T07:15:40Z
dc.date.available2024-08-26T07:15:40Z
dc.date.issued2024-07
dc.identifier.citationPunithavalli, G. & Anandhkumar, M. (2024). Kernel and k-Kernel Symmetric Intuitionistic Fuzzy Matrices. TWMS Journal of Applied and Engineering Mathematics, 14(3), 1231-1240.en_US
dc.identifier.issn2146-1147
dc.identifier.issn2587-1013
dc.identifier.urihttps://jaem.isikun.edu.tr/web/index.php/archive/125-vol14no3/1250
dc.identifier.urihttp://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/6085
dc.description.abstractThe idea of Kernel and k-Kernel Symmetric (k-KS) Intuitionistic Fuzzy Matrices (IFM) are introduced with an example. We present some basic results of Kernel symmetric matrices. We show that k-symmetric implies k-Kernel symmetric but the converse need not be true. The equivalent relations between kernel symmetric, k-kernel symmetric and Moore-Penrose inverse of IFM are explained with numerical results.en_US
dc.language.isoengen_US
dc.publisherIşık University Pressen_US
dc.relation.ispartofTWMS Journal of Applied and Engineering Mathematicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectk-Kernel Symmetricen_US
dc.subjectIntuitionistic Fuzzy Matrices (IFM)en_US
dc.subjectk-hermitianen_US
dc.subjectMoorePenrose inverseen_US
dc.subjectRange symmetricen_US
dc.titleKernel and k-Kernel Symmetric Intuitionistic Fuzzy Matricesen_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.volume14
dc.identifier.issue3
dc.identifier.startpage1231
dc.identifier.endpage1240
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakEmerging Sources Citation Index (ESCI)en_US


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