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The lattice generated by hesitant fuzzy filters in pseudo-BCI algebras

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dc.contributor.authorBo, Chunxin-
dc.contributor.authorZhang, Xiaohong-
dc.contributor.authorShao, Songtao-
dc.contributor.authorPark, Choonkil-
dc.date.accessioned2022-07-11T05:20:38Z-
dc.date.available2022-07-11T05:20:38Z-
dc.date.created2021-05-12-
dc.date.issued2018-10-
dc.identifier.issn1064-1246-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149215-
dc.description.abstractThe notion of hesitant fuzzy set is introduced by V. Torra, which is a very useful tool to express peoples’ hesitancy in daily life. The notion of pseudo-BCI algebra is introduced by W. A. Dudek and Y. B. Jun, which is a kind of nonclassical logic algebra and close connection with various non-commutative fuzzy logic algebras. In this paper, hesitant fuzzy theory is applied to pseudo-BCI algebras. The new concepts of hesitant fuzzy filter and anti-grouped hesitant fuzzy filter in pseudo-BCI algebras are proposed, and their characterizations are presented. Also, the relationships between fuzzy filters and hesitant fuzzy filters are discussed. Moreover, by introducing the notion of tip-extended pair of hesitant fuzzy filters, a new union operation (generated by the union of two hesitant fuzzy filters) is defined and it is proved that the set of all hesitant fuzzy filters in pseudo-BCI algebras forms a bounded distributive lattice about intersection and the new union.-
dc.language영어-
dc.language.isoen-
dc.publisherIOS PRESS-
dc.titleThe lattice generated by hesitant fuzzy filters in pseudo-BCI algebras-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Choonkil-
dc.identifier.doi10.3233/JIFS-172024-
dc.identifier.scopusid2-s2.0-85047266603-
dc.identifier.wosid000446239400069-
dc.identifier.bibliographicCitationJOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v.35, no.3, pp.3333 - 3345-
dc.relation.isPartOfJOURNAL OF INTELLIGENT & FUZZY SYSTEMS-
dc.citation.titleJOURNAL OF INTELLIGENT & FUZZY SYSTEMS-
dc.citation.volume35-
dc.citation.number3-
dc.citation.startPage3333-
dc.citation.endPage3345-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science-
dc.relation.journalWebOfScienceCategoryArtificial Intelligence-
dc.subject.keywordPlusBL-ALGEBRAS-
dc.subject.keywordPlusSET-THEORY-
dc.subject.keywordAuthorHesitant fuzzy set-
dc.subject.keywordAuthorpseudo-BCI algebra-
dc.subject.keywordAuthorhesitant fuzzy filter-
dc.subject.keywordAuthoranti-grouped hesitant fuzzy filter-
dc.subject.keywordAuthorlattice-
dc.identifier.urlhttps://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs172024-
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