Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (1): 85-90.doi: 10.3969/j.issn.1001-506X.2013.01.14

• 系统工程 • 上一篇    下一篇

基于主客观综合赋权的CGF态势评估建模研究

张媛1, 刘文彪2, 张立民3   

  1. 1. 海军航空工程学院5系, 山东 烟台 264001;2. 海军航空工程学院2系, 山东 烟台 264001;3. 海军航空工程学院科研部, 山东 烟台 264001
  • 出版日期:2013-01-23 发布日期:2010-01-03

Situation assessment modeling for CGF based on the subjective and objective integrated weight

ZHANG Yuan1, LIU Wen-biao2, ZHANG Li-min3   

  1. 1. Naval Aeronautical and Astronautical University, Yantai 264001, China; 
    2. Naval Aeronautical and Astronautical University, Yantai 264001, China;
    3. The Research Department, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Online:2013-01-23 Published:2010-01-03

摘要:

超视距空战仿真中,计算机生成兵力(computer generated forces, CGF)实体态势评估行为是一种综合反映决策者主观偏好和决策信息客观排序结果的理性行为。为了解决CGF实体态势评估行为建模过程中作战信息的客观模糊性与指挥员的思维主观性相结合的问题,提出一种基于主客观综合赋权的CGF态势评估建模方法。该方法以对超视距空战中CGF实体态势评估行为产生机制的分析为基础,以模糊多属性决策方法为工具,根据主客观综合赋权的多属性决策方法,计算出目标各威胁因素的权重,得出当前空战态势中各CGF实体的威胁排序结果,进而估计出目标可能的作战意图。实例验证表明,基于主客观综合赋权的CGF态势评估仿真方法能有效地模拟实际兵力的态势评估行为,提高超视距空战仿真中CGF实体行为决策的真实性。

Abstract:

The situation assessment behavior for computer generated forces (CGF)in the beyond visual range air combat is a sense reasoning process with the entity subjective and the situation information objective. In order to solve the combinational question for the information with ambiguous and the commander thinking with subjective in CGF simulation assessment behavior model, a modeling method for the CGF situation assessment based on the subjective and objective integrated weight is proposed. Based on the output mechanism analysis for the CGF situation assessment behavior in combat simulation, the weight coefficient for each CGF threat factor is calculated according to the fuzzy multiattribute decision making technology and subjective and objective integrated weight calculation technology. And then the threat sequencing in the current situation is calculated, as well as the possible battle intention is gotten. The results show that the algorithm can realistically simulate the situation assessment process of real battle forces and improve the authenticity of CGF decisionmaking in the beyondvisualrange air combat simulation.