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IJAR
2010

A fuzzy random forest

9 years 5 months ago
A fuzzy random forest
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.
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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