An interval-valued fuzzy reasoning algorithm based on OWA operator

被引：0
|
作者：
Zhang, Qiansheng [1 ]
Jiang, Shengyi [1 ]
Luo, Shihua [2 ]
Yao, Haixiang [1 ]
机构：
[1] Guangdong Univ Foreign Studies, Sch Informat Sci & Technol, Guangzhou 510420, Guangdong, Peoples R China
[2] Jiangxi Univ Finance & Econom, Jian 3331303, Jiangxi, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
基金：
中国国家自然科学基金;
关键词：
Interval valued fuzzy set; OWA operator; Similarity measure; Production rule; DECISION-MAKING; SETS; SYSTEMS;
D O I：
10.1109/ICICISYS.2009.5357955
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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
引用
收藏
页码：246 / +
页数：2
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