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

Volume

2

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

246

Lastpage

250

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICISYS.2009.5357955

Filename

5357955