DocumentCode
3123863
Title
An introduction to type-2 TSK fuzzy logic systems
Author
Liang, Qilian ; Mendel, Jerry M.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume
3
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
1534
Abstract
Type-2 fuzzy sets allow one to handle linguistic uncertainties. This paper presents the architectures of three type-2 TSK fuzzy logic systems (FLSs). There are three because of the possible type-1 or type-2 natures of the antecedent memberships and parameters of the consequent. The output of a type-2 TSK FLS is a type-1 set (which can be defuzzified), whereas the output of a type-1 TSK FLS is a crisp number (type-0 set). Simulation results are provided that compare the outputs of type-2 and type-1 TSK FLSs.
Keywords
fuzzy logic; fuzzy set theory; TSK fuzzy logic systems; crisp number; fuzzy set theory; linguistic uncertaintie; membership function; type-2 fuzzy sets; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image processing; Marine vehicles; Signal processing;
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.1999.790132
Filename
790132
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