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
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;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.790132
