Generation of fuzzy decision trees by fuzzy ID3 with adjusting mechanism of AND/OR operators

Author

Hayashi, I. ; Maeda, T. ; Bastian, A. ; Jain, L.C.

Author_Institution

Dept. of Manage. & Comput. Sci., Hannan Univ., Japan

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

681

Abstract

An ability of adjusting the AND/OR operators is discussed in this paper to overcome the drawback of fuzzy ID3. The fuzzy ID3 has a mechanism to construct fuzzy rules. However, the fuzzy ID3 has a couple of problems, i.e., 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 the golden section method. By using the golden section method, the proposed fuzzy ID3 gives accurate fuzzy rules. If the t-conorm connective is selected as AND/OR operator in the adjusting stage, the decision tree has more flexible representation

Keywords

fuzzy logic; fuzzy set theory; inference mechanisms; learning (artificial intelligence); AND/OR operators; adjusting mechanism; fuzzy ID3; fuzzy decision trees; fuzzy rules; golden section method; t-conorm connectives; t-norm connectives; Computer industry; Decision trees; Electronics industry; Engineering management; Fuzzy sets; Industrial electronics; Internet; Knowledge management; Laboratories; Mutual information;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687570

Filename

687570