基于粗糙集理论的舰船电子设备状态预测方法研究

针对舰船电子设备使用环境复杂的特点,采用粗糙集理论对其状态进行预测。通过分析设备正常运行的历史数据完成信息系统的初始化,利用粗糙集理论对初始化后的数据进行属性约简并得出决策规则。最后把经过初始化的实时数据带入决策规则中来完成对设备的状态预测。

State Prediction Algorithm for Electronic Equipment Based on the Rough Set Theory

For complicated environment conditions of electronic equipment6, this paper introduces a method for the state prediction of the electronic equipment based on the rough set theory. Above all, the normalization of historical date about the electronic equipment could be gotten when the equipment operates normally. Then, through the attribute reduction, 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 equipment state could be predicted. For complicated environment conditions of electronic equip- ment, this paper introduces a method {or the state prediction of the electronic equipment based on the rough set theory. Above all, the normalization of historical date about the electronic equipment could be gotten when the equipment operates normally. Then, through the attribute reduction, 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 equipment state could be predicted.