基于粗糙集与计划识别的威胁估计方法  

Techniques for Thread Assessment Based on Rough Set Theory and Plan Recognition

作　　者：王晓帆[1,2] 王宝树[1] 罗磊[2] 

机构地区：[1]西安电子科技大学,西安710071 [2]西安理工大学,西安710048

出　　处：《计算机科学》2011年第B10期140-142,共3页Computer Science

基　　金：国防科技预研基金(51315080202)资助

摘　　要：威胁估计过程中随有大量不确定性的信息,但需要对敌方计划进行快速识别。将粗糙集理论与计划识别相结合,提出一种基于粗糙集的计划识别方法。建立了粗糙集的多属性快速计划识别模型,给出了计算方法,并用实例验证了模型的快速有效性和正确性。实验结果说明,该模型可以提高威胁估计的效率,进而为提高模式匹配的效率提供一种新方法。Although there is a mass of uncertain information in process of thread assessment,plan recognition quick is very important.A new method for plan recognition based on rough set was put forward.First the model for plan recognition based multi-attribute of rough set was build and calculating methods were given,then concrete examples were demonstrated to test the validity and correctness of the models.The results of the experiment show that the model can promote the efficiency of thread assessment,and give a new technique of pattern matching quick.

关 键 词：威胁估计 计划识别 粗糙集 值约简 

分 类 号：TP14[自动化与计算机技术—控制理论与控制工程] TP391[自动化与计算机技术—控制科学与工程]