Journal
KNOWLEDGE-BASED SYSTEMS
Volume 23, Issue 6, Pages 497-503Publisher
ELSEVIER
DOI: 10.1016/j.knosys.2010.03.006
Keywords
Fuzzy databases; Fuzzy formal context; Fuzzy concept lattice; Attribute reduction; T implication
Categories
Funding
- National Natural Science Foundation of China [60803162]
- Science Plan Foundation of the Education Bureau of Shaanxi Province [09JK722, 09JK439]
- Shaanxi Provincial Science and Technology Research and Development Projects [2008K01-03]
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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.
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