An efficient centroid type-reduction strategy for general type-2 fuzzy logic system

被引：289
|
作者：
Liu, Feilong [1 ]
机构：
[1] Univ So Calif, Dept Elect Engn, Signal & Image Proc Inst, Los Angeles, CA 90089 USA
来源：
INFORMATION SCIENCES | 2008年 / 178卷 / 09期
关键词：
general type-2 fuzzy logic system; alpha-Plane; Centroid type-reduction; fuzzy weighted average; Karnik-Mendel algorithm;
D O I：
10.1016/j.ins.2007.11.014
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an efficient centroid type-reduction strategy for general type-2 fuzzy set is introduced. This strategy makes use of the result of a-plane representation, and performs the centroid type-reduction on each a-plane. Simulations show that it usually needs only several resolution of a value such that the defuzzified value converges to a real value. Consequently, comparing with the exhaustive computation approach, this approach can tremendously decrease the computation complexity from exponential into linear. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码：2224 / 2236
页数：13
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