Optimizing the Fuzzy Classification System through Genetic Algorithm

Abstract

This paper tries to apply a genetic algorithm-based method to fuzzy rule-base system for fuzzy classification with minimum fuzzy rules, which simultaneously enhances or maintain the performance of the fuzzy classification system with fuzzy rule-base. That is, the optimization is included with the minimization of the number of the extracted fuzzy rules and… (More)

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Cite this paper

@article{Kim2008OptimizingTF, title={Optimizing the Fuzzy Classification System through Genetic Algorithm}, author={Jong Ryul Kim and Do-Un Jeong}, journal={2008 Third International Conference on Convergence and Hybrid Information Technology}, year={2008}, volume={2}, pages={903-908} }