摘要
对粗糙集理论的应用发展及其基本概念做了详细的描述 ,介绍了粗糙集理论在智能控制中的应用及发展趋势。重点阐述了它与模糊集、神经网络、遗传算法等软计算方法的融合 ,指出这些融合将为解决智能控制中的难题提供新的思路和方法。
The basic concepts of rough sets theory are introduced and its application and trend in intelligent control focused on. And the combination of rough sets with fuzzy sets, neural network and genetic algorithms is mainly reviewed, which gives new ideas and methods to solve the hard problems in intelligent control.
出处
《西南科技大学学报》
CAS
2004年第4期33-37,62,共6页
Journal of Southwest University of Science and Technology
关键词
粗糙集
模糊集
神经网络
遗传算法
rough set
fuzzy set
neural network
genetic algorithms
