Heuro-fuzzy extraction of interpretable fuzzy rules from data

被引：0
|
作者：
Riid, A [1 ]
Rüstern, E [1 ]
机构：
[1] Tallinn Univ Technol, Dept Comp Control, EE-19086 Tallinn, Estonia
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年
关键词：
fuzzy modeling; modeling for control; interpretability; generalization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper addresses extraction of linguistic fuzzy rules from data, paying specific attention to such properties of the resulting fuzzy model as interpretability and generalization ability. A modeling technique, combining some previously known heuristic modeling approaches, is developed. Experiments of controller identification based on the truck backer-upper application demonstrate that the proposed technique is able to capture the relevant information even if the data sets used for model extraction are insufficient and/or contain noise.
引用
收藏
页码：2266 / 2271
页数：6
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