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Article
Reduction of Fuzzy Systems through Open Product Analysis of Genetic Algorithm-Generated Fuzzy Rule Sets
Proceedings of the IEEE Conference on Fuzzy Systems, 2004
(2004)
Abstract
Besides the original individual set generated by the GA, we define a subset of it with a small number of antecedents as a filtered set. A novel method of extracting important system components, known as <it> open product analysis <\it>, is applied to these two sets, yielding systems that perform well with a small number of antecedents. The fuzzy classifier we reduced performs well using only 10% to 30% of the antecedents that were originally used for classification.
Keywords
- fuzzy logic,
- open product analysis
Disciplines
Publication Date
July 25, 2004
Citation Information
Sanza Kazadi, Jerry Mendel, Diana Jue-Rajasingh, Dharshan Chandramohan, et al.. "Reduction of Fuzzy Systems through Open Product Analysis of Genetic Algorithm-Generated Fuzzy Rule Sets" Proceedings of the IEEE Conference on Fuzzy Systems, 2004 (2004) Available at: http://works.bepress.com/sanza-kazadi/27/