DocumentCode
3120107
Title
Correlation based generating rules for fuzzy classification
Author
Liu, Da-zhong ; Wang, Xi-Zhao ; Lee, John W T
Author_Institution
Sch. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
1733
Abstract
Automated acquisition of rules is a very important issue in knowledge engineering. In this paper, a new method for generating fuzzy rules from numerical data for fuzzy classification problems based on the correlation analysis between two fuzzy sets has been proposed. Experimental results and comparison with Yuan and Shaw´s method are presented as well.
Keywords
fuzzy set theory; knowledge acquisition; knowledge engineering; pattern classification; acquisition of rules; correlation analysis; fuzzy classification; fuzzy rules; fuzzy sets; knowledge engineering; Classification tree analysis; Computer science; Decision trees; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Knowledge acquisition; Knowledge engineering; Mathematics; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175333
Filename
1175333
Link To Document