Identification Method of Task Community Based on Bayesian Belief Network

摘要

With the increaseing of the combat capability of the weapon platform, the striking range of the weapon platform is expanding, and it is necessary to classify the weapon platform according to the target that the weapon platform may hit. It can distinguish the task community, enhancing the cognition and supporting combat decision. Therefore, this paper discusses the issue of task community identification. First, the concept of the task community was introduced. Then, it explores the ideas and methods framework of task community identification. Then, we discuss the method of target attempt evaluation based on Bayesian network, and analyze the structure of Bayesian network model and how to determine the conditional probability table. Finally, a simulation example is given to demonstrate the feasibility and effectiveness of the method.