基于变精度粗糙集理论的UCAV态势评估方法研究  

On UCAV's Situation Assessment Method Based on Variable Precision Rough Set Theory

作　　者：胡杰[1] 黄长强[1] 赵辉[1] 臧旭[2] 

机构地区：[1]空军工程大学工程学院,西安710038 [2]中国人民解放军驻沈阳飞机工业(集团)有限公司军事代表室,沈阳110850

出　　处：《电光与控制》2010年第3期23-26,43,共5页Electronics Optics & Control

基　　金：空军工程大学优秀博士学位论文创新基金(BC08002);国家"八六三"计划(2008AA7050703)

摘　　要：粗糙集是一种处理不确定性因素的决策方法,将其引入到UCAV态势评估过程中。针对机载传感器或其他信息系统获得的目标属性数据可能存在噪声或某种程度的不完整性这一问题,在传统粗糙集理论的基础上引入置信阈值β形成变精度粗糙集理论,在深入分析UCAV态势评估过程的基础上,将该理论与态势评估相结合,形成基于变精度粗糙集的UCAV态势评估算法。通过对实例的分析可知,该方法能够与态势评估的全过程紧密结合,结果正确。Rough set is a decision-making method for uncertainty factors, which was applied in the process of UCAV＇s situation assessment. To tackle the noise or incompleteness of the target＇s attribute data obtained from airborne sensors or other information systems, a confidence threshold ]3 was introduced into traditional rough set theory, which brought forward variable precision rough set theory. The characteristics of UCAV＇s situation assessment process were analyzed, and UCAV＇s situation assessment algorithm based on variable precision rough set was put forward. Examples were computed and the results were correct, which showed that the method can be integrated into the situation assessment process.

关 键 词：UCAV 决策规则 态势评估 变精度粗糙集 

分 类 号：V279[航空宇航科学与技术—飞行器设计]