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 aircraft) formation mission planning, UCAV mission assignment is an important research topic. Aiming at the problem of UCAV task assignment under uncertain information conditions, a UCAV task assignment model based on uncertain information is established. Based on the SMAA (random multi-attribute acceptability analysis) method, the uncertain information UCAV Task allocation method, and illustrates the validity and applicability of UCAV task assignment method based on SMAA uncertainty information.