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A method of selecting fuzzy rules based on the clonal selection algorithm

ZHAO Yan,YE Qing(College of Electrical and Communication Engineering,Changsha University of Science and Technology,Changsha 410076,China)  
Combined with clonal selection theory of artificial immune system and optimized by the clonal selection algorithm,the elite rules for classification were selected from a mass of fuzzy if-then rules produced by multiple fuzzy partitions to realize the classification.The effective rules selected by this method have the performances of lesser rule number,very high classification correctness and very short identification time.
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