Learning cooperative TSK-0 fuzzy rules using fast local search algorithms

Authors:
Javier Cózar;Luis De La Ossa;Jose M. Puerta
Affiliations:
Computing Systems Department, I³A, University of Castilla-La Mancha, Spain;Computing Systems Department, I³A, University of Castilla-La Mancha, Spain;Computing Systems Department, I³A, University of Castilla-La Mancha, Spain
Venue:
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Year:
2011

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Abstract

This paper presents an adaptation of the COR methodology to derive the rule base in TSK-type linguistic fuzzy rule-based systems. In particular, the work adapts an existing local search algorithm for Mamdani rules which was shown to find the best solutions, whilst reducing the number of evaluations in the learning process.