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.
出处
《电光与控制》
北大核心
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)
关键词
UCAV
决策规则
态势评估
变精度粗糙集
UCAV
decision-making rule
situation assessment
variable precision rough set
