基于粗糙集理论的系统智能控制方法研究

The study of the system intelligent control methods based on the rough set theory

为了使系统能够正常运行,采用粗糙集理论对其状态进行智能控制。通过分析系统正常运行的历史数据,经过归一化、求上界完成信息系统的初始化后,利用粗糙集理论对其进行属性约简并得出决策规则。把经过初始化的实时数据带入决策规则中来判断系统状态是否存在异常,最终完成对系统的智能控制。

For normal system operation, this paper introduces an intelligent control method based on the rough set theory through which state-variable can be controled. Above all, the normalization and the upper bound of histrorical date about the information system could be getted when the system operates normally. Then, through the attribute recuction, the decision rulers of the information system could be concluded. Eventually, using the decision rulers and the real-time data which must be initialized, the system operation state could be controled.