作者: Piero P. Bonissone , José Manuel Cadenas , María del Carmen Garrido , R. Andrés Díaz-Valladares
DOI: 10.1007/978-3-642-10728-3_2
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摘要: Following Breiman’s methodology, we propose the fundamentals to design and construct a “forest” of randomly generated fuzzy decision trees, i.e., Fuzzy Random Forest. This approach combines robustness multi-classifiers, construction efficiency power randomness increase diversity trees in forest, flexibility logic sets for data managing. A prototype method has been constructed have implemented some specific strategies inference Some experimental results are given.