First, extended additive models can be estimated by means of the matching pursuit algorithm, which has been related to Support Vector Machines, Boosting and ...

Jan 1, 2004 · In particular, the technique we propose here can be regarded as the counterpart to boosting fuzzy classifiers in the field of fuzzy modeling.

We show that the combination of a genetic algorithm and the backfitting process learns faster than ad hoc methods in certain datasets. c 2003 Elsevier B.V. All ...

This procedure has been previously applied to learn fuzzy models and classifiers from crisp data [7, 23, 27], and shown to be as fast as some ad-hoc learning ...

We propose a new method for inducting descriptive fuzzy models. Our model is based on fuzzy propositions that only use prespeci ed semantic values of linguistic ...

A fast genetic method for inducting descriptive fuzzy models ... Under certain inference mechanisms, fuzzy rule bases can be regarded as extended additive models.

Backfitting has also been regarded as the counterpart of Adaboost in model estimation and also used to induce fuzzy models in previous works [20] . The ...

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A fast genetic method for inducting descriptive fuzzy models. Author. Luciano Sánchez · José Otero. Year of Publication. 2004. Journal.

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