Abstract: With combat capability increasing of the weapon platform, the target range of the weapon platform is expanding, and it is necessary to classify the weapon platform according to the object that weapon platform may hit. It can distinguish the task community, enhance the cognition and support combat decision. Therefore, the issue of task community identification is discussed in this paper. Firstly, the concept of the task community is introduced. Then, it explores the ideas and methods framework of task community identification. Then, the method of object attempt evaluation is discussed with Bayesian network, which analyzes the structure of Bayesian network model. Finally, a simulation example is given to demonstrate the feasibility and effectiveness of the proposed method.

Key words: mission community, Bayesian belief network, conditional probability table, target grouping

摘要： 随着武器平台打击能力的提高，武器平台的打击目标范围不断扩大，需要根据武器平台可能打击的目标对武器平台进行分类，区分任务共同体，增强对态势的认知，辅助作战决策。因此，就任务共同体识别问题进行初步探讨。对任务共同体的概念进行了介绍。探讨了任务共同体识别的思路和方法框架。讨论了基于贝叶斯网络的目标企图评估方法，对贝叶斯网络模型的结构进行了分析。构建了仿真示例验证了方法的可行性与有效性。

关键词: 任务共同体, 贝叶斯网络, 条件概率表, 目标分群