Title :
Super-Exponential Convergence of the Karnik–Mendel Algorithms for Computing the Centroid of an Interval Type-2 Fuzzy Set
Author :
Mendel, Jerry M. ; Liu, Feilong
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fDate :
4/1/2007 12:00:00 AM
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; fuzzy set theory; iterative methods; Karnik-Mendel iterative algorithms; interval type-2 fuzzy set centroid; super-exponential convergence; type-2 fuzzy logic system; Convergence; Extraterrestrial measurements; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image processing; Iterative algorithms; Measurement uncertainty; Signal processing; Centroid; Karnik–Mendel (KM) algorithms; interval type-2 fuzzy sets; type-2 fuzzy sets;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.882463