一种基于不确定信息的UCAV目标分配方法

UCAV Targets Assignment Method Based on Uncertain Information

在UCAV(无人战斗机)编队任务规划中,UCAV的任务分配是一个重要研究课题。针对不确定信息条件下的UCAV任务分配问题,建立了基于不确定信息条件下的UCAV任务分配模型,通过SMAA(随机多属性可接受性分析方法)方法,给出了基于SMAA的不确定信息UCAV任务分配方法,并通过仿真实例说明了基于SMAA的不确定信息UCAV任务分配方法的有效性和适用性。

In UCAV （Unmanned Combat Aerial Vehicle） fleet mission planning, UCAV targets assignment is a key research topic. With respect to UCAV targets assignment problem with uncertain information, the mathematical model of UCAV targets assignment with uncertain information was built and UCAV targets assignment by SMAA （Stochastic Multi-criteria Acceptability Analysis） method based on uncertain information was given after introducing the SMAA method. Besides, simulations demonstrate the effectiveness of the method.