Advances in type-2 fuzzy sets and systems

被引：462
|
作者：
Mendel, Jerry M. [1 ]
机构：
[1] Univ So Calif, Dept Elect Engn, Signal & Image Proc Inst, Los Angeles, CA 90089 USA
来源：
INFORMATION SCIENCES | 2007年 / 177卷 / 01期
关键词：
type-2 fuzzy sets; type-2 fuzzy systems; interval type-2 fuzzy sets; interval type-2 fuzzy logic systems; centroid; KM algorithms; computing with words; fuzzy weighted average;
D O I：
10.1016/j.ins.2006.05.003
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 state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described. Interest in type-2 subjects is worldwide and touches on a broad range of applications and many interesting theoretical topics. The main focus of this paper is on the theoretical topics, with descriptions of what they are, what has been accomplished, and what remains to be done. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码：84 / 110
页数：27
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