Random forest ensemble classification based fuzzy logic

    ICMV, 2016.

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    EI

    Abstract:

    In this paper, we treat the supervised data classification, while using the fuzzy random forests that combine the hardiness of the decision trees, the power of the random selection that increases the diversity of the trees in the forest as well as the flexibility of the fuzzy logic for noise. We will be interested in the construction of a...More

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