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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175333
