Parallel implementation of a fuzzy rule based classifier

Authors:
Alexandre G. Evsukoff;Myrian C. A. Costa;Nelson F. F. Ebecken
Affiliations:
COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil;COPPE/Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
Venue:
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Year:
2004

Citing 3
Cited 0

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Parallel Computing - Parallel data-intensive algorithms and applications
Fuzzy logic = computing with words

IEEE Transactions on Fuzzy Systems

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Abstract

This works presents an implementation of a fuzzy rule based classifier where each single variable fuzzy rule based classifier (or a set of them) is assigned to a different processor in a parallel architecture. Partial conclusions are synchronized and processed by a master processor. This approach has been applied to a very large database and results are compared with a parallel neural network approach.