摘要
空中目标威胁评估是地面防空系统武器配置和资源管理的基础。针对威胁评估的实时性和人为主观性等问题,在综合粗糙集(RS)理论和逼近理想解排序法(TOPSIS)的基础上,建立了RS-TOPSIS空中目标威胁评估模型。通过RS理论对目标属性赋权,减少人为主观因素的影响与对先验信息的需求,进而结合TOPSIS分析贴近度并计算得到目标威胁程度。模型基于数据驱动,易于实现并具备良好的实时性。仿真结果表明该方法能有效评估目标威胁程度,为空中目标威胁程度的实时评估提供了一种新的工程决策方法。
Air target threat evaluation is the foundation for weapon allocation and resource management within the ground surface air defense system. Aimed at the problems of real-time and human subjectivity for threat evaluation,an air target threat evaluation model based on RS-TOPSIS is established according to combining rough set(RS) theory and technique for order preference by similarity to ideal solution(TOPSIS). RS theory which can avoid the influence of subjective factors and the requirement for prior information is used to determine the weight of target attribute,then close degree is analyzed with TOPSIS,and threat degree of air target is obtained. The model driven with data is easy to implement and has good real-time performance. The simulation results show that this method can effectively evaluate the threat degree and thus provides a new engineering decision-making method for real-time evaluation of air target threat degree.
作者
杨远志
于雷
周中良
阮铖巍
YANG Yuanzhi;YU Lei;ZHOU Zhongliang;RUAN Chengwei(Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2018年第5期1001-1007,共7页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家自然科学基金(61472443)~~
关键词
粗糙集(RS)
逼近理想解排序法(TOPSIS)
威胁评估
地面防空
空中目标
rough set (RS)
technique for order preference by similarity to ideal solution (TOPSIS)threat evaluation
ground surface air defense
air target