A rough set solution to a fuzzy set problem

被引：0
|
作者：
Bean, CL [1 ]
Kambhampati, C [1 ]
Rajasekharan, S [1 ]
机构：
[1] Univ Hull, NEAT, Neural Emergent & Agent Technol Grp, Kingston Upon Hull HU6 7RX, N Humberside, England
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 | 2002年
关键词：
rough sets; fuzzy logic; LMIs; rule reduction;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
When designing a Takagi-Sugeno (TS) fuzzy controller, reducing the number of rules makes it easier to derive a stable Lyaponov based controller using Linear Matrix Inequalities (LMIs). This paper describes an intuitive way of reducing a fuzzy ruleset by eliminating rules that are very similar in terms of parameters and membership functions. It is then suggested that a more formal approach to this intuitive idea may be found in rough set theory.
引用
收藏
页码：18 / 23
页数：6
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