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- W2106103886 abstract "An ability of learning for AND/OR operators is discussed to overcome a drawback of fuzzy ID3. In the fuzzy ID3, it is nearly impossible to obtain the most suitable fuzzy rules since 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 using golden section method, we get the optimal solution at a high speed. The proposed fuzzy ID3 gives more accurate fuzzy rules by adjusting parameters. If t-conorm connective is selected as AND/OR operator, the decision tree has more flexible representation." @default.
- W2106103886 created "2016-06-24" @default.
- W2106103886 creator A5037058917 @default.
- W2106103886 date "2002-12-24" @default.
- W2106103886 modified "2023-09-25" @default.
- W2106103886 title "Acquisition of fuzzy rules using fuzzy ID3 with ability of learning for AND/OR operators" @default.
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- W2106103886 doi "https://doi.org/10.1109/anziis.1996.573929" @default.
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