A fuzzy random forest

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Following Breiman’s methodology, we propose a multi-classiﬁer based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach combines the robustness of multi-classiﬁers, the construction efﬁciency of decision trees, the power of the randomness to increase the diversity of the trees in the forest, and the ﬂexibility of fuzzy logic and the fuzzy sets for data managing.

Piero P. Bonissone, José Manuel Cadenas, M.

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Fuzzy Decision | Fuzzy Logic | Fuzzy Random Forest | IJAR 2010 |

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Added	27 Jan 2011
Updated	27 Jan 2011
Type	Journal
Year	2010
Where	IJAR
Authors	Piero P. Bonissone, José Manuel Cadenas, M. Carmen Garrido, R. Andrés Díaz-Valladares

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A fuzzy random forest

Fuzzy Decision | Fuzzy Logic | Fuzzy Random Forest | IJAR 2010 |

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