基于粗糙集理论的地震前兆综合预测研究

Research on integrative predication of seismic precursors based on rough set theory

以实际震例的异常数据为样本,利用粗糙集理论的离散、约简和推理功能,对地震前兆异常属性进行约简,进而对地震震级进行推理分类。初步结果表明,该方法可以在一定程度上找到异常数据与震级之间的内在联系,是一种可行的地震前兆综合预测方法。

Based on the actual earthquake cases of abnormal data as samples,the earthquake precursory anomaly attributes and reasons out earthquake magnitude are reduced using the rough set theory of discrete,reduction and reasoning function,in this paper.The analysis results show that this method can find the inner relationship between abnormal data and magnitudes.It is a kind of feasible earthquake precursor integrated prediction method.