论文信息 - Generation of fuzzy decision trees by fuzzy ID3 with adjusting mechanism of AND/OR operators

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

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.

L. Jain | I. Hayashi | T. Maeda | A. Bastian | L. C. Jain

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