DocumentCode :
2888617
Title :
Approach to Knowledge Reduction in Formal Context Based on Concept Lattice
Author :
Wang, Hong ; Zhang, Wen-xiu
Author_Institution :
Inst. for Inf. & Syst. Sci., Xi´´an Jiaotong Univ.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
1048
Lastpage :
1053
Abstract :
Formal concept analysis of binary relations has proved to be useful in resolve of many problems of theoretical or interest. This paper deals with approach to knowledge reduction in formal context based on object oriented concept lattice and attribute oriented concept lattice. The concept of consistent set in formal context is first introduced and its equivalent definitions are given. The judgment theorem and discernibility matrix associated with formal context reducts are established, from which we can provide the approach to knowledge reduction in formal context
Keywords :
data analysis; knowledge engineering; matrix algebra; rough set theory; attribute oriented concept lattice; discernibility matrix; formal concept analysis; formal context; judgment theorem; knowledge reduction; object oriented concept lattice; rough set theory; Computer science; Cybernetics; Data analysis; Educational institutions; Information analysis; Information systems; Lattices; Machine learning; Mathematics; Set theory; Concept lattice; Consistent set; Formal context; Knowledge reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258558
Filename :
4028218
Link To Document :
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