DocumentCode
3447646
Title
A proposal of fuzzy ID3 with ability of learning for AND/OR operators
Author
Hayashi, Isao ; Ozawa, J.
Author_Institution
Dept. of Comput. & Ind. Sci., Hannan Univ., Japan
fYear
1996
fDate
11-14 Dec 1996
Firstpage
24
Lastpage
29
Abstract
The fuzzy ID3 is a powerful method to acquire fuzzy decision trees. However, the fuzzy ID3 has a couple of problems, i.e., a problem of a lack of representation and an adjusting problem. In our fuzzy ID3, AND/OR operators are formulated using t-norm and t-conorm connectives with parameters and each parameter is adjusted using golden section method. By adjusting parameters, the proposed fuzzy ID3 gives more accurate fuzzy rules for representing the data sets. If t-conorm connective is selected as AND/OR operator, the decision tree has a sub-decision tree
Keywords
decision theory; fuzzy set theory; knowledge acquisition; learning systems; AND/OR operators; decision tree; fuzzy ID3; fuzzy decision trees; production rules; Decision trees; Entropy; Fuzzy sets; Mutual information; Production; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location
Kenting
Print_ISBN
0-7803-3687-9
Type
conf
DOI
10.1109/AFSS.1996.583545
Filename
583545
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