基于模糊随机贝叶斯网络的意图估计方法

Research on Intention Estimation Method Based on Fuzzy Random Bayesian Networks

意图估计是数据融合五级模型中态势评估的重要研究内容。意图估计结果的稳定性对于辅助战场决策具有重要意义,在分析了影响意图识别结果稳健性的基础上,将模糊随机贝叶斯网络应用于战场目标的意图分析。在研究了战场环境下网络结点构造及推理方法的基础上,结合具体场景给出示例并进行了仿真验证。

Intention estimation is an important research content of situation assessment in data fusion five-level model.The stability of intention estimation results is very important for battlefield decision-making.Based on the analysis of the robustness of intention recognition results,the fuzzy random Bayesian network is applied to the intention analysis of battlefield targets.Based on the research of network node construction and reasoning method in battlefield environment,an example is given and simulated.