摘要
威胁评估是一个不确定的推理过程,为指挥员提供准确、及时的威胁信息,是CGF实体瞄准行为决策中最关键的任务之一。针对基于CGF智能决策系统,在分析威胁因素的基础上,提出了一种利用模糊关系方程估计目标威胁等级的算法。这一算法利用威胁因素和对应的威胁等级构成的训练模糊集合,建立威胁等级和影响因素之间的模糊关系。生成的模糊关系能利用给定的威胁因素和实时目标信息从而估计出未来的目标威胁等级。计算结果表明,这一方法是正确可行的。
Threat assessment, one of the most critical tasks in Computer Generated Forces （CGF） systems, is a process of inexact reasoning providing correct and timely threat information for the commander. After analyzing the target threat factors,we present a model which applies a fuzzy relational equation algorithm to threat analysis in context of intelligent decision support system based on CGF. Given a training set of fuzzy values of the factors and their corresponding threat levels, the algorithm establishes a fuzzy relation between the threat levels and the factors values. The generated relation can then be used to estimate future threat levels from given factor values and real time target information. The result of the calculation testifies that this method is correct.
出处
《指挥控制与仿真》
2010年第5期20-23,共4页
Command Control & Simulation
关键词
计算机生成兵力
威胁因素分析
模糊关系方程
威胁评估
computer generated forces（CGF）
threat factors analysis
fuzzy relational equation
threat assessment
