DocumentCode
2845653
Title
A new sparse rule-based fuzzy reasoning method
Author
Wang, Baowen ; Li, Xia ; Liu, Wenyuan ; Shi, Yan
Author_Institution
Sch. of Inf. Sci. & Eng., Yanshan Univ., China
fYear
2004
fDate
5-8 Dec. 2004
Firstpage
462
Lastpage
467
Abstract
This paper presents a new fuzzy interpolative reasoning method in the sparse fuzzy rule bases based on so-called similarity relations of fuzzy sets. By this reasoning method, an inference consequence can be simply obtained, and is a normal and convex fuzzy set without any limitation, which shows the potential ability of the proposed method in real-world fuzzy applications.
Keywords
fuzzy reasoning; fuzzy set theory; knowledge based systems; fuzzy interpolative reasoning; fuzzy sets; sparse fuzzy rule bases; Engines; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Information science; Interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on
Print_ISBN
0-7695-2291-2
Type
conf
DOI
10.1109/ICHIS.2004.9
Filename
1410048
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