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

页码：18 / 23

页数：6

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