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.
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.
出处
《长沙交通学院学报》
2007年第2期73-77,84,共6页
Journal of Changsha Communications University
基金
湖南省教育厅基金资助项目(03C72)
关键词
模糊规则
克隆选择算法
模式分类
fuzzy rules
the clonal selection algodthm
pattern classification
