基于案例推理方法在态势分析中的应用研究

提出使用基于案例推理方法建立战场和军事单元的层次推理模型。将多个军事实体在不同层次上与案例库进行比对，对数据融合中的中间层建立战场态势估计模型，在战场上给定的地理区域对探测到的每一个地面目标建立特征向量，包括时间、位置和目标类型等，并对特征向量分群处理，把每个群的目标类型，数量和态势参数列表。用分层的案例推理方法得到群中作战单元的目标类型，编队情况和作战意图，从而进行敌方作战态势估计，为指挥员决策提供依据。

Application of CBR Method in Situation Assessment

We develop the CBR method to build a model of middle level data fusion with an application to situation assessments, Military entity will be compared with the case-base in different levels. The method first builds a feature vector for each dcteetod ground target that includes time, position and target class in a particular rectangular geographical area of the battlespace. It then clusters the feature vectors and makes an inventory of each cluster as to target classes, counts and poslure parameters, Situntion assessment is done next via a three tiered cascaded process of case-based reasoning on cluster attribute records to infer the unit types, sizes, and purposes for the eommanders.