A multidimensional interval-valued fuzzy reasoning method based on OWA operator
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 lvF 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.
Interval valued fuzzy set OWA operator Similarity measure Production rule
Qiansheng Zhang Yirong Huang Haixiang Yao Shengyi Jiang
School of Information Science and Technology Gnangdong University of Foreign Studies Zhongshan Unive School of Business Zhongshan University Guangzhou 510275, P. R. China School of Information Science Guandong University of Foreign Studies Guangzhou 510420, P. R. China School of Information Science Guangdong University of Foreign Studies Guangzhou 510420, P. R. China
国际会议
长沙
英文
188-191
2010-05-11(万方平台首次上网日期,不代表论文的发表时间)