DocumentCode :
2754701
Title :
New closed-form solutions for Karnik-Mendel algorithm+defuzzification of an interval type-2 fuzzy set
Author :
Mendel, Jerry M. ; Xinwang Liu
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
Karnik-Mendel (KM) algorithms used for type reduction (TR) followed by defuzzification are commonly used in interval type-2 fuzzy logic systems (IT2 FLSs). Up until now no closed-form solution has existed for KM+defuzzification. Our paper gives, for the first time, a Taylor-series approximation to KM+defuzzification. The first term in the approximation is the Nie-Tan (NT) formula, and the second-term (which is actually the third-order term in the Taylor series) is a correction to it. One very interesting fact is that the Taylor series approximation is itself iterative (as is the KM Algorithm) in that the second term depends on the first term. Simulations show that the first term is a very good approximation to KM+defuzzification.
Keywords :
approximation theory; fuzzy logic; fuzzy set theory; IT2 FLS; KM algorithms; Karnik-Mendel algorithm+defuzzification; NT; Nie-Tan formula; TR; Taylor series approximation; Taylor-series approximation; closed-form solution; closed-form solutions; interval type-2 fuzzy logic systems; interval type-2 fuzzy set; type reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1098-7584
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2012.6251286
Filename :
6251286
Link To Document :
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