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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016665