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