Fuzzy rule extraction from ID3-type decision trees for real data
This paper proposes a method to construct a fuzzy rule-based classifier system from an ID3-type decision tree (DT) for real data. The three major steps are rule extraction, gradient descent tuning of the rule-base, and performance-based pruning of the rule-base. Pruning removes all rules which canno...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 31(2001), 5 vom: 15., Seite 745-54
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| 1. Verfasser: |
Pal, N R
(VerfasserIn) |
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| Weitere Verfasser: |
Chakraborty, S |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2001
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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