Data-based fuzzy rule test for fuzzy modelling

被引：21

作者：

Krone, A

Taeger, H

机构：

[1] Univ Dortmund, Dept Control Engn, Fac Elect Engn, D-44221 Dortmund, Germany

[2] Univ Dortmund, Fac Stat, D-44221 Dortmund, Germany

来源：

FUZZY SETS AND SYSTEMS | 2001年 / 123卷 / 03期

关键词：

fuzzy statistics and data analysis; fuzzy system models; learning; confidence intervals for fuzzy events;

D O I：

10.1016/S0165-0114(00)00112-3

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the field of fuzzy modelling, the exclusive consideration of the modelling error leads to problems concerning the handling of high-dimensional applications and the interpretability of the resulting rule base. To solve those problems, a statistically motivated fuzzy rule test is proposed. It decides if a fuzzy IF/THEN statement is a relevant rule or not. In this way, the problem of finding a good rule base can be reduced to the problem of finding good, relevant rules. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：343 / 358

页数：16

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