摘要
本文采用对样本矢量所在的三维空间进行划分的思想,提出了一种利用样本数据自身所带的模糊信息抽取模糊规则的方法,并给出了该方法理论上的依据。该方法的特点是计算简单,可用于模糊规则的实时提取,以实现系统的自适应控制。仿真的结果说明了本方法的有效性和实用性。
Based on division of the three-dimensional space from data samples, a rapid method of extracting fuzzy rales by using fuzzy information of the samples is proposed in this paper. The principle of this approach is proved theoretically. Due to its simplicity this method can be used to extract fuzzy rules in real time for an adaptive control system. The results of simulation have shown that this approach is effective and practical.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1998年第4期455-461,共7页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
关键词
规则抽取
自适应控制
模糊规则
模糊控制器
Fuzzy Control, Rule Extraction, Space Division, Sample Reappearance
