Construction of Mamdani Fuzzy Classifier Based on Genetic Algorithm

摘要：

Most of the fuzzy classifiers are created by fuzzy rules based on apriori knowledge and experts knowledge, but in many applications, its difficult to obtain fuzzy rules without apriori knowledge of the data. To solve this problem, a new way of creating Mamdani fuzzy classifier based on Mamdani fuzzy logical system is proposesed in this paper, and the new fuzzy classifier is improved with the genetic algorithm further. The result of data simulation with Iris data shows the new Mamdani fuzzy classifier has minimum number of features, minimum number of fuzzy rules and better precision.

关键词： fuzzy classifier Mamdani fuzzy logical system fuzzy reasoning genetic algorithm

作者: Zhou Weihong Xiong Shunqing Zhao Yong

作者单位: School of Mathematics & Computer Science Yunnan Nationalities University, YNU Kunming, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 187-191

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）