Battle damage assessment of air-to-ground precision guided weapon air-to-ground attack
Yongbo Xuan · Systems Engineering - Theory & Practice · 2012
Aiming at the complexity of modern battlefield,diversity,uncertainty and illegibility of battle damage assessment(BDA)data sources,the BDA fuzzy Bayesian networks is constructed by integrate the fuzzy set theory into Bayesian networks.The continuous node of this network is converted to corresponding membership degree,and then the membership degree is converted to probability knowledge which can be used to Bayesian networks inference by possibility transformation theory.The effect on BDA of weather, electronic jamming,optical jamming and weapon-target matching degree are considered in this model. The combat decision-maker can use the model to simulate on the target damage under the varied kinds of attack conditions,and make quick and correct assessment on target damage grade.It can get true target damage information by syncretizing the recon-naissance intelligence collected after the attack,and it also can make use of assessment accuracy to modify the assessment model.Finally,it will provide decision-making evidence for second strike and properly making fire-power configuration scheme.