贝叶斯网络作为一种知识表示和进行概率推理的方法,在不确定性推理决策问题中得到了广泛的应用。针对态势评估系统需要对大量不确定性知识进行处理的情况,利用贝叶斯网络技术,结合博弈论的思想,提出了一种博弈融合态势评估的新算法,并以一个实例来说明该算法计算过程的可行性,指出了贝叶斯网络在实际应用中存在的问题。
As a knowledge representation and reasoning methods, Bayesian networks has been widely used in the uncertainty reasoning decision-making questions. Situation assessment system needs a lot of uncertainty knowledge to deal with. Using Bayesian network technology combined with the basic ideas of game theory to represent information fusion of game theory and give the algorithm of information fusion. In the end indict two problems of Bayesian networks.