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A new class of fuzzy implications derived from non associative structures and its characterizations

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dc.contributor.authorPark, Choonkil-
dc.contributor.authorRehman, Noor-
dc.contributor.authorAli, Abbas-
dc.contributor.authorAlahmadi, Reham A.-
dc.contributor.authorKhalaf, Mohammed M.-
dc.contributor.authorHila, Kostaq-
dc.date.accessioned2024-11-28T13:31:31Z-
dc.date.available2024-11-28T13:31:31Z-
dc.date.issued2023-08-
dc.identifier.issn1064-1246-
dc.identifier.issn1875-8967-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/196651-
dc.description.abstractIn clasical logic, it is possible to combine the uniary negation operator ¬ with any other binary operator in order to generate the other binary operators. In this paper, we introduce the concept of (N∗, O, N, G)-implication derived from non associative structures, overlap function O, grouping function G and two different fuzzy negations N∗ and N are used for the generalization of the implication p → q ≡ ¬ [p ∧ ¬ (¬ p ∨ q)] . We show that (N∗, O, N, G)-implication are fuzzy implication without any restricted conditions. Further, we also study that some properties of (N∗, O, N, G)-implication that are necessary for the development of this paper. The key contribution of this paper is to introduced the concept of circledcircG,N-compositions on (N∗, O, N, G)-implications. If (N1∗,O(1),N1,G(1)) - or (N2∗,O(2),N2,G(2)) -implications constructed from the tuples (N1∗,O(1),N1,G(1)) or (N2∗,O(2),N2,G(2)) satisfy a certain property P, we now investigate whether circledcircG,N-composition of (N1∗,O(1),N1,G(1)) - and (N2∗,O(2),N2,G(2)) -implications satisfies the same property or not. If not, then we attempt to characterise those implications (N1∗,O(1),N1,G(1)) -, (N2∗,O(2),N2,G(2)) -implications satisfying the property P such that circledcircG,N-composition of (M1∗,O(1),M1,G(1)) - and (M2∗,O(2),M2,G(2)) -implications also satisfies the same property. Further, we introduced sup-circledcircO-composition of (N∗, O, N, G)-implications constructed from tuples (N∗, O, N, G) . Subsequently, we show that under which condition sup-circledcircO-composition of (N∗, O, N, G)-implications are fuzzy implication. We also study the intersections between families of fuzzy implications, including RO-implications (residual implication), (G, N)-implications, QL-implications, D-implications and (N∗, O, N, G)-implications.-
dc.format.extent29-
dc.language영어-
dc.language.isoENG-
dc.publisherIOS PRESS-
dc.titleA new class of fuzzy implications derived from non associative structures and its characterizations-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.3233/JIFS-222878-
dc.identifier.scopusid2-s2.0-85169897090-
dc.identifier.wosid001059229800090-
dc.identifier.bibliographicCitationJournal of Intelligent & Fuzzy Systems, v.45, no.3, pp 4949 - 4977-
dc.citation.titleJournal of Intelligent & Fuzzy Systems-
dc.citation.volume45-
dc.citation.number3-
dc.citation.startPage4949-
dc.citation.endPage4977-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordPlusDIMENSIONAL OVERLAP FUNCTIONS-
dc.subject.keywordPlusRESIDUAL IMPLICATIONS-
dc.subject.keywordPlusCONSTRUCTION-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusGENERATION-
dc.subject.keywordPlusSETS-
dc.subject.keywordPlus(S-
dc.subject.keywordAuthorOverlape function-
dc.subject.keywordAuthorgrouping function-
dc.subject.keywordAuthorfuzzy implication-
dc.subject.keywordAuthorfuzzy negation-
dc.identifier.urlhttps://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs222878-
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