Title :
An interval-valued fuzzy reasoning algorithm based on OWA operator
Author :
Zhang, Qiansheng ; Jiang, ShengYi ; Luo, Shihua ; Yao, Haixiang
Author_Institution :
Sch. of Inf. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou, China
Abstract :
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.
Keywords :
fuzzy set theory; inference mechanisms; knowledge representation; IvF inference system; OWA operator; interval-valued fuzzy reasoning algorithm; interval-valued fuzzy set theory; uncertain knowledge representation; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; In vitro fertilization; Inference algorithms; Knowledge representation; Open wireless architecture; Performance evaluation; Production systems; Weight measurement; Interval valued fuzzy set; OWA operator; Production rule; Similarity measure;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357955
