Rough set based fuzzy controller and its application to load control system in power plant

被引：0
|
作者：
Wang, Fang [1 ]
Xie, Keming [1 ]
Xie, Jun [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Informat Engn, Taiyuan 030024, Shanxi, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/FSKD.2007.498
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present the rough set-based algorithm of multi-layer fuzzy rules extraction. The idea comes from the limitation of human thinking. The dimension number of fuzzy rules from this algorithm is no more than 3. These rules are advantageous to being understood, compared and corrected. This algorithm improves C-D discernible matrices without attributes calculation between inconsistent objects and chooses the most important attribute gradually from core attributes as starting point. Information increment of decision D is used as heuristic information of attributes selection. This multilayer fuzzy controller is combined with conventional PID, applied to unit load control system of power plant. The simulation results show that the performance of the proposed rough set based fuzzy controller is satisfactory.
引用
收藏
页码：609 / 613
页数：5
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