Applications of rough soft sets in BCI-algebras and decision making

被引：11
作者：
Ma, Xueling [1 ]
机构：
[1] Hubei Univ Nationalities, Dept Math, Enshi, Hubei Province, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2015年 / 29卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Rough soft set; lower(upper) soft approximation; rough soft (p-; q-; a-); ideal; decision making; BCI-algebra; GENERALIZED FUZZY IDEALS; BCK/BCI-ALGEBRAS; LOGIC;
D O I：
10.3233/IFS-151724
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rough sets and soft sets are important tools to deal with uncertainties. Combining rough sets and soft sets, we apply rough soft set theory to BCI-algebras. Some basic operations of the lower and upper soft approximations are discussed. Some kinds of rough soft ideals of BCI-algebras are also obtained. Finally, two kinds of decision making methods for rough soft BCI-algebras are investigated.
引用
收藏
页码：1079 / 1085
页数：7
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