An interval-valued fuzzy reasoning algorithm based on OWA operator

摘要：

This paper presents a weighted interval-valued fuzzy (IvF) reasoning algorithm based on OWA operator for IvF inference system where interval-valued fuzzy set (IvFS) theory and IvF production rules with parameters are used for uncertain knowledge representation. The proposed algorithm can perform IvF matching between the fact and the antecedent portion of IvF rule by employing the weighted similarity measure. Finally, one numeric example illustrates that the proposed method is very flexible and simple.

关键词： Interval valued fuzzy set OWA operator Similarity measure Production rule

作者: Qiansheng Zhang Shengyi Jiang Shihua Luo Haixiang Yao

作者单位: School of Information Science and Technology Guangdong University of Foreign Studies Guangzhou 51042 School of Information Management Jiangxi University of Finance and Economics Nanchang 331303,P.R.Chi

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1149-1153

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）