Super-exponential convergence of the Karnik-Mendel algorithms for computing the centroid of an interval type-2 fuzzy set

被引:173
作者
Mendel, Jerry M. [1 ]
Liu, Feilong [1 ]
机构
[1] Univ So Calif, Dept Elect Engn, Signal & Image Proc Inst, Los Angeles, CA 90089 USA
关键词
centroid; interval type-2 fuzzy sets; Karnik-Mendel (KM) algorithms; type-2 fuzzy sets;
D O I
10.1109/TFUZZ.2006.882463
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Computing the centroid of an interval T2 ITS 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.
引用
收藏
页码:309 / 320
页数:12
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