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Ensembles of Fuzzy Classifiers

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3 Author(s)
Canul-Reich, J. ; South Florida Univ., Tampa ; Shoemaker, L. ; Hall, L.O.

The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (adaptive neuro-fuzzy inference systems). We compare results from bagging to those of a single classifier using both crisp and fuzzy classifier combination methods. Results on 20 data sets show that bagging results in a significantly more accurate classifier.

Published in:

Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International

Date of Conference:

23-26 July 2007

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