基于FBN的UCAV对地攻击战斗损伤评估  

Battle Damage Assessment of UCAV Air-to-ground Attack Based on FBN

作　　者：刘海燕[1] 史志富[1] 梁华强[2] 

机构地区：[1]第二炮兵工程学院,西安710025 [2]西安通信学院,西安710106

出　　处：《系统仿真学报》2009年第6期1531-1534,共4页Journal of System Simulation

摘　　要：针对战场战斗损伤评估信息的多样性、不确定性和模糊性,基于模糊理论易于将清晰变量离散化与贝叶斯网络易于进行不确定性推理的优点,提出应用模糊贝叶斯网络对UCAV对地攻击效果进行分析评价,建立了对地攻击损伤评估的模糊贝叶斯网络模型,给出了基于模糊贝叶斯网络的损伤评估的推理决策方法,并且对该方法进行了仿真分析。仿真实例表明,基于模糊贝叶斯网络的损伤评估模型能够提高战斗损伤评估的准确度,而且推理简单,易于实现。Aiming at the diversity,uncertainty and illegibility of battle damage assessment（BDA） data sources,based on the merit of fuzzy set theory which can convert the crisp variable to discrete variable and the Bayesian networks have advantages on deal with uncertainty inference,the battle damage assessment method based on the fuzzy Bayesian networks（FBN） was brought out.The fuzzy Bayesian networks models of UCAV air-to-ground battle damage assessment was built.The Bayesian inference algorithm was given out.The simulation example of air-to-ground combat damage assessment was dealt.The simulation results show that the damage assessment models could improve the assessment accuracy and the algorithm is simple,perspicuity and apt realization.

关 键 词：战斗损伤评估 模糊贝叶斯网络 UCAV 对地攻击 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]