Attribute reduction in fuzzy concept lattices based on the T implication

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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 δ∈IT⊆[0,1] with respect to T implication. Then we introduce the notion of δ-reducts in a fuzzy formal context and give some equivalent characterizations of δ-consistent sets to determine δ-reducts. Based on δ-reducts, we divide attributes into three types (at a level δ) and establish some characterization theorems to determine the type of an attribute.

论文关键词:Fuzzy databases,Fuzzy formal context,Fuzzy concept lattice,Attribute reduction,T implication

论文评审过程:Received 18 October 2008, Revised 13 January 2010, Accepted 12 March 2010, Available online 18 March 2010.

论文官网地址:https://doi.org/10.1016/j.knosys.2010.03.006