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Neutrosophic Sets and Systems
Article . 2017
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Neutrosophic Regular Filters And Fuzzy Regular Filters In Pseudo-Bci Algebras

Authors: Xiaohong Zhang; Yingcang Ma; Florentin Smarandache;

Neutrosophic Regular Filters And Fuzzy Regular Filters In Pseudo-Bci Algebras

Abstract

Neutrosophic set is a new mathematical tool for handling problems involving imprecise, indeterminacy and inconsistent data. Pseudo-BCI algebra is a kind of non-classical logic algebra in close connection with various non-commutative fuzzy logics. Recently, we applied neutrosophic set theory to pseudo-BCI algebras. In this paper, we study neutrosophic filters in pseudo-BCI algebras. The concepts of neutrosophic regular filter, neutrosophic closed filter and fuzzy regular filter in pseudo-BCI algebras are introduced, and some basic properties are discussed. Moreover, the relationships among neutrosophic regular filter, fuzzy filters and anti-grouped neutrosophic filters are presented, and the results are proved: a neutrosophic filter (fuzzy filter) is a neutrosophic regular filter (fuzzy regular filter), if and only if it is both a neutrosophic closed filter (fuzzy closed filter) and an anti-grouped neutrosophic filter (fuzzy anti-grouped filter).

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Keywords

Pseudo-BCI algebra, Neutrosophic set, Electronic computers. Computer science, QA1-939, Neutrosophic Filter, QA75.5-76.95, Neutrosophic Regular Filter, Mathematics, Fuzzy Regular Filter

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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