基于粗糙集的石油安全预警规则提取

Rules Set of China Oil Security Early Warning Based on Rough Set

粗糙集理论是分析不确定系统的一种有力的工具。运用粗糙集的理论和方法,结合我国历年的石油数据,建立石油安全预警指标模型。利用Rose软件,在保持分类能力不变的前提下,对该数据的各项指标进行属性约简,再对该约简的属性值进行约简,然后提取最小决策规则,挖掘其中隐含的有用信息,得出影响我国石油安全预警的重要因素。根据得出的决策规则,对我国未来几年内的石油预测数据进行分析,得出我国石油安全属于重警区,需加强防范的结论。

Rongh set theory is a powerful tool of uncertainty analysis system. In this paper, using rough set theory and methods, establish a model of early warning of China oil security, according to the data of China oil. By Rose, trader the premise of keeping the same classification capacity, the attribute and attribute value of data are reduced, and then, the smallest decisicn rules are extracted. Get the important factors which affect our country＇ s oil security. The results show that China oil security will be dangerous within the next few years. So must strengthen measure.