DocumentCode :
344747
Title :
Widely popular cases of fuzzy rule interpolation techniques
Author :
Mizik, Sándor ; Baranyi, Péter ; Korondi, Péter ; Kóczy, László T.
Author_Institution :
Dept. of Autom., Tech. Univ. Budapest, Hungary
Volume :
1
fYear :
1999
fDate :
22-25 Aug. 1999
Firstpage :
389
Abstract :
To handle the inevitable problem of exponential calculation time and storage-space complexity of fuzzy logic algorithms, fuzzy interpolation methods have been proposed as a possible reduction technique. They form an inference engine that is applicable, unlike classical fuzzy algorithms, even in an uncompleted knowledge base when the rules are sparse. The paper compares the KH, the modified KH, VKK and the general fuzzy interpolation methods for the widely popular cases of triangular and trapezoidal sets.
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; interpolation; VKK method; exponential calculation time; fuzzy logic algorithms; fuzzy rule interpolation techniques; inference engine; modified KH method; reduction technique; storage-space complexity; trapezoidal sets; triangular sets; uncompleted knowledge base; Computer aided software engineering; Engines; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Inference algorithms; Interpolation; Storage automation; Telematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
ISSN :
1098-7584
Print_ISBN :
0-7803-5406-0
Type :
conf
DOI :
10.1109/FUZZY.1999.793271
Filename :
793271
Link To Document :
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