摘要
根据CGF目标选择的模糊性特点,介绍了一个基于模糊集理论的目标威胁分析算法和基于效用理论的目标选择算法。基于模糊集理论的威胁分析能准确反映和描述实际战场环境下信息的模糊特性,算法通过隶属度函数计算得出不同威胁因素的隶属度值,然后通过层次分析法综合各威胁因素隶属度值获得每个目标的威胁程度。基于效用理论的目标选择算法通过效用函数综合考虑了目标的威胁程度和与之交战的期望效益两方面因素,能很好地模拟实际作战兵力的目标选择过程。
According to the ambiguous features in Target Selection process of individual Computer Generated Forces （CGF）, a threat analysis algorithm based on Fuzzy Set Theory and a target selection algorithm based on Utility Theory were discussed. Fuzzy Set Theory can efficiently express ambiguous and complex situations, such as those that arise in real life threat analysis. For each target the threat analysis algorithm produces a threat value by calculating a membership of each factor and aggregating the membership values of the sets through Analytic Hierarchy Processing （AHP）. By using a synthesis utility function, both the target threat and the expected engaging utility have been taken into account by the target selection algorithm in target selection process. The algorithm can realistically simulate the target selection orocess of real battle forces.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第9期2407-2411,共5页
Journal of System Simulation
关键词
CGF
威胁分析
目标选择
模糊集
效用函数
computer generated forces
threat analysis
target selection
fuzzy set
utility function
