DocumentCode :
3272084
Title :
Attribute reduction in fuzzy decision formal contexts
Author :
Pei, Duo ; Li, Mei-Zheng ; Mi, Ju-Sheng
Author_Institution :
Coll. of Math. & Inf. Sci., Hebei Normal Univ., Shijiazhuang, China
Volume :
1
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
204
Lastpage :
208
Abstract :
The classical concept lattices express the precise relation between object sets and attribute sets, but fuzzy concept lattices express the uncertain relation between object sets and attribute sets. Therefore, it is important to study hierarchy fuzzy knowledge from a fuzzy formal context. In this paper, a kind of fuzzy decision formal context is proposed and (α, β) reduct based on this fuzzy decision formal context is defined. Furthermore, we propose a method to judge attribute consistent sets and reducts in fuzzy decision formal contexts. Finally, a Boolean method is also formulated to attribute reduction in fuzzy decision formal context from the view of the discernibility matrix.
Keywords :
Boolean functions; decision theory; formal concept analysis; fuzzy logic; fuzzy set theory; matrix algebra; Boolean method; attribute consistent sets; attribute reduction; discernibility matrix; formal concept analysis; fuzzy concept lattices; fuzzy decision formal contexts; hierarchy fuzzy knowledge; object sets; (α, β) consistent set; Attribute reduction; discernibility matrix; fuzzy decision formal context;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016665
Filename :
6016665
Link To Document :
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