【摘要】 针对常规粗糙集约简算法在应用中的样本指标提取困难和效率低下等问题,将粗糙集理论引入到态势指标提取中,基于差别矩阵压缩和分类选择实现态势指标决策表的信息约简,结合专家知识的指标重要性度量调整态势指标的选择,提出一种基于改进差别矩阵和专家知识的态势指标提取算法.在态势指标体系实例中进行分析和验证,实验表明该算法具有较好的态势指标约简效果,提取后的指标在网络安全评估中是合理的,因此该研究为态势指标的有效提取提供一种可行的解决途径.更多还原

【Abstract】 Aiming at the problems of difficult and inefficient sample index extraction in the general reduction algorithm,rough set theory is introduced to extract situation index. The decision table information is reduced based on the discernibility matrix compression and classified selection,and the index selection is adjusted by combining the importance measure of the export knowledge. Meanwhile,a situation index extraction algorithm based on improved discernibility matrix and expert knowledge is proposed. It is analyzed and verified in the example of situation index system. Experimental results show that theproposed algorithm has good effect on the situation index reduction,and the extracted indexes are rational in the network security assessment. It provides a feasible solution for extracting the situation index.更多还原