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基于克隆选择算法的模糊规则提取方法
引用本文:赵燕,叶青.基于克隆选择算法的模糊规则提取方法[J].长沙交通学院学报,2007,23(2):73-77,84.
作者姓名:赵燕  叶青
作者单位:长沙理工大学,电气与信息工程学院,湖南,长沙,410076
摘    要:结合人工免疫系统的克隆选择原理,采用克隆算法进行优化,提取通过多精度模糊分割产生的大量模糊if-then规则中的优质分类规则,建立了模糊分类所需要的有效规则集来实现分类的目的.由该方法所提取的模糊规则集具有分类正确率高、规则数目较少及识别时间短的特点.

关 键 词:模糊规则  克隆选择算法  模式分类
文章编号:1000-9779(2007)02-0073-05
收稿时间:2007-03-20
修稿时间:2007-03-20

A method of selecting fuzzy rules based on the clonal selection algorithm
ZHAO Yan,YE Qing.A method of selecting fuzzy rules based on the clonal selection algorithm[J].Journal of Changsha Communications University,2007,23(2):73-77,84.
Authors:ZHAO Yan  YE Qing
Institution:College of Electrical and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Abstract: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.
Keywords:fuzzy rules  the clonal selection algorithm  pattern classification
本文献已被 CNKI 维普 万方数据 等数据库收录!
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