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Ensembles of Fuzzy Classifiers

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3 Author(s)
Juana Canul-Reich ; Department of Computer Science and Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL., USA. phone: +1 813 9743033; email: ; Larry Shoemaker ; Lawrence O. Hall

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:

2007 IEEE International Fuzzy Systems Conference

Date of Conference:

23-26 July 2007