Soft set theoretical approach to pseudo-BCI algebras

被引:53
作者
Zhang, Xiaohong [1 ,2 ]
Park, Choonkil [3 ]
Wu, Supeng [1 ]
机构
[1] Shaanxi Univ Sci & Technol, Sch Arts & Sci, Dept Math, Xian, Shaanxi, Peoples R China
[2] Shanghai Maritime Univ, Coll Arts & Sci, Dept Math, Shanghai, Peoples R China
[3] Hanyang Univ, Dept Math, Seoul, South Korea
基金
中国国家自然科学基金;
关键词
Fuzzy logic; soft set; soft pseudo-BCI algebra; filteristic soft pseudo-BCI algebra; int-soft filter; BL-ALGEBRAS; FILTERS; IDEALS; DECISION;
D O I
10.3233/JIFS-17777
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The notion of pseudo-BCI algebra is introduced by W.A. Dudek and Y.B. Jun, it is a kind of non-classical logic algebra and a generalization of pseudo-BCK algebra which is close connection with various non-commutative fuzzy logic algebras. The concept of soft set is introduced by Molodtsov, it can be seen as a new mathematical tool for dealing with uncertainty. In this paper, soft set theory is applied to pseudo-BCI algebras, the new notions of soft pseudo-BCI algebras and filteristic soft pseudo-BCI algebras are introduced. The relationships between soft pseudo-BCI algebras and soft non-commutative residuated lattices are presented. The union, intersection, int-product, uni-product and difference operations of (filteristic) soft pseudo-BCI algebras are investigated. Finally, another application of soft set to pseudo-BCI algebras is discussed, the new concept of int-soft filters in pseudo-BCI algebras is introduced, and related properties are proved.
引用
收藏
页码:559 / 568
页数:10
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