Attribute reduction in fuzzy concept lattices based on the T implication

被引:70
|
作者
Li, Lifeng [1 ]
Zhang, Jianke [1 ,2 ]
机构
[1] Xian Inst Posts & Telecommun, Dept Appl Math & Appl Phys, Xian 710121, Peoples R China
[2] Xidian Univ, Sch Sci, Xian 710126, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy databases; Fuzzy formal context; Fuzzy concept lattice; Attribute reduction; T implication; FORMAL CONCEPT ANALYSIS;
D O I
10.1016/j.knosys.2010.03.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Attribute reduction in fuzzy concept lattices based on the kind of transitive regular implication operator (T implication in short) is introduced and investigated We first propose a kind of fuzzy concept lattices by using T implication in a fuzzy formal context at a level delta is an element of I-T subset of [0 1] with respect to T implication. Then we introduce the notion of delta-reducts in a fuzzy formal context and give some equivalent characterizations of delta-consistent sets to determine delta-reducts. Based on delta-reducts, we divide attributes into three types (at a level delta) and establish some characterization theorems to determine the type of an attribute. (C) 2010 Published by Elsevier B.V.
引用
收藏
页码:497 / 503
页数:7
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