A Multidimensional Interval-Valued Fuzzy Reasoning Method Based on OWA Operator

Author

Zhang, Qiansheng ; Yao, Haixiang ; Huang, Yirong ; Jiang, ShengYi

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

188

Lastpage

191

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 reasoning; fuzzy set theory; knowledge representation; IvF inference system; IvF matching; IvF production rules; OWA operator; knowledge representation; multidimensional weighted interval-valued fuzzy reasoning method; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; In vitro fertilization; Inference algorithms; Knowledge representation; Multidimensional systems; Open wireless architecture; Performance evaluation; Production systems; Interval valued fuzzy set; OWA operator; Production rule; Similarity measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.741

Filename

5523512