DocumentCode
2418168
Title
Super-Exponential Convergence of the Karnik-Mendel Algorithms Used for Type-reduction in Interval Type-2 Fuzzy Logic Systems
Author
Mendel, Jerry M. ; Liu, Feilong
Author_Institution
Univ. of Southern California, Los Angeles
fYear
0
fDate
0-0 0
Firstpage
1253
Lastpage
1260
Abstract
Computing the centroid of an interval T2 FS is an important operation in a type-2 fuzzy logic system (where it is called type-reduction), but it is also a potentially time-consuming operation. The Karnik-Mendel (KM) iterative algorithms are widely used for doing this. In this paper we prove that these algorithms converge monotonically and super-exponentially fast. Both properties are highly desirable for iterative algorithms and explain why in practice the KM algorithms have been observed to converge very fast, thereby making them very practical to use.
Keywords
convergence of numerical methods; fuzzy logic; fuzzy set theory; fuzzy systems; iterative methods; type theory; Karnik-Mendel iterative algorithm; fuzzy set theory; interval type-2 fuzzy logic systems; super-exponential convergence; type-reduction; Computer simulation; Convergence; Extraterrestrial measurements; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Image processing; Iterative algorithms; Measurement uncertainty; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9488-7
Type
conf
DOI
10.1109/FUZZY.2006.1681870
Filename
1681870
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