DocumentCode
1642814
Title
Similarity in hierarchical fuzzy rule-base systems
Author
Muresan, L.
Author_Institution
Dept. of Telecommun. & Telematics, Tech. Univ. Budapest
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
746
Lastpage
750
Abstract
Deals with issues related to fuzzy interpolation and hierarchical fuzzy rule bases, from the point of view of similarity between rule antecedents and observations. The existing distance-based similarities sometimes exhibit strange properties, which make them inadequate for the selection of interpolating fuzzy rules, for instance. In the paper, similarity of two fuzzy sets is expressed as a crisp value, rather then based on a fuzzy distance. This leads to easier rule selection, but also to some modification of the interpolation methods
Keywords
computational complexity; fuzzy set theory; fuzzy systems; hierarchical systems; interpolation; knowledge based systems; crisp value; fuzzy interpolation; fuzzy sets; hierarchical fuzzy rule-base systems; observations; rule antecedents; rule selection; similarity; Equations; Fuzzy sets; Fuzzy systems; Inference algorithms; Interpolation; Piecewise linear techniques; Telecommunication computing; Telematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1005086
Filename
1005086
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