PROCEEDINGS IPMU '08
A Fuzzy Random Forest: Fundamental for Design and Construction
P. Bonissone, J.M. Cadenas, M.C. Garrido, R.A. Díaz-Valladares.
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.
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