Research on the Dynamic Assessment of Battlefield Forces Based on Bayesian Networks

Two sides of the battlefield forces contrast is an important influence factor of battlefield situation. Accurately judge it is a preconditions of situation assessment. This paper researches on the battlefield forces assessment and the results of the dynamic changes. In order to achieve it, we build two Bayesian networks, one analyses situation battlefield forces, the other analyses dynamic changes with the nodes. The nodes of first Bayesian network contains enemy air-to-ground attack force, our air-to-ground attack force, enemy air-to-air attack force, our air-to-air attack force, enemy ground-to-air attack force, our ground-to-air attack force, enemy ground-to-ground attack force, our ground-to-ground attack force, enemy ground defenses, our ground defenses, etc. The second Bayesian network reflects the changes of nodes of first Bayesian network. Through these Bayesian network, we can get the current situation of battlefield forces, and find the change between original result and now. Finally, the process of how to use the Bayesian networks for situation assessment was showed by an example.