目标威胁评估的动态突变排序法
发布时间：2018-12-30 21:36
【摘要】：针对目标威胁评估过程难以与目标动态态势相结合以及已有评估方法大多需要确定各指标权重而过多依赖专家经验的问题,将时间序列赋权与突变理论相结合,提出了目标威胁评估的动态突变排序法。该方法采用泊松分布逆形式对时间序列进行赋权,综合考虑了当前时刻和之前时刻的目标关联信息;在突变理论基础上抽象出了突变排序的思想,将目标威胁评估指标体系中下层指标对上层指标的作用归因为控制变量对状态变量的作用,并采用归一化公式对作用程度进行求解,依此方式由底层往上逐层推进最终得到目标威胁评估值。实例仿真结果表明,动态突变排序法不需确定各指标权重,计算过程简洁高效,可操作性强,且综合考虑了目标的动态威胁态势,评估结果更加合理,具有一定的实用价值。
[Abstract]:Aiming at the problem that the process of target threat assessment is difficult to combine with the dynamic situation of the target and that most of the existing evaluation methods need to determine the weights of each index and rely too much on expert experience, the time series weighting is combined with the catastrophe theory. A dynamic mutation ranking method for target threat assessment is proposed. The method uses the inverse form of Poisson distribution to weight the time series and synthetically considers the target association information of the current time and the previous time. On the basis of catastrophe theory, the idea of mutation ranking is abstracted, and the effect of lower level index on upper level index in target threat assessment index system is attributed to the effect of control variable on state variable. The normalized formula is used to solve the degree of action, and the target threat assessment value is obtained from the bottom layer to the top layer by this way. The simulation results show that the dynamic catastrophe sequencing method does not need to determine the weight of each index, the calculation process is simple and efficient, the maneuverability is strong, and the dynamic threat situation of the target is considered comprehensively. The evaluation result is more reasonable and has certain practical value.
【作者单位】： 空军工程大学装备管理与安全工程学院;空军工程大学科研部研究中心;
【分类号】：O192;O223
[Abstract]:Aiming at the problem that the process of target threat assessment is difficult to combine with the dynamic situation of the target and that most of the existing evaluation methods need to determine the weights of each index and rely too much on expert experience, the time series weighting is combined with the catastrophe theory. A dynamic mutation ranking method for target threat assessment is proposed. The method uses the inverse form of Poisson distribution to weight the time series and synthetically considers the target association information of the current time and the previous time. On the basis of catastrophe theory, the idea of mutation ranking is abstracted, and the effect of lower level index on upper level index in target threat assessment index system is attributed to the effect of control variable on state variable. The normalized formula is used to solve the degree of action, and the target threat assessment value is obtained from the bottom layer to the top layer by this way. The simulation results show that the dynamic catastrophe sequencing method does not need to determine the weight of each index, the calculation process is simple and efficient, the maneuverability is strong, and the dynamic threat situation of the target is considered comprehensively. The evaluation result is more reasonable and has certain practical value.
【作者单位】： 空军工程大学装备管理与安全工程学院;空军工程大学科研部研究中心;
【分类号】：O192;O223
【相似文献】
相关期刊论文 前10条
1 王越;赵凯;翟二宁;张X;;信息熵和主观偏好综合的空袭目标威胁评估[J];火炮发射与控制学报;2013年01期
2 李特;冯琦;张X;;基于熵权灰色关联和D-S证据理论的威胁评估[J];计算机应用研究;2013年02期
3 张青苗;韩振;许小兵;;基于马尔可夫链的防空作战威胁评估模型[J];四川兵工学报;2010年12期
4 黄剑平;王周敬;;基于直觉模糊推理的未来地面防空作战的威胁评估[J];科技风;2008年08期
5 岳韶华;周国安;;基于改进TOPSIS模型的防空多目标威胁评估[J];指挥控制与仿真;2009年01期
6 曲长文,何友;基于对策论的威胁评估模型[J];火力与指挥控制;1999年02期
7 李军;易良海;张玲;;基于ELECTRE-IN方法的装备战场威胁评估[J];数学的实践与认识;2010年14期
8 韩朝超;黄树彩;王凤朝;;基于区间数熵权分析的空中目标威胁评估方法[J];战术导弹技术;2010年01期
9 周玉龙;何永强;张维安;;红外鱼眼系统下的多目标威胁评估研究[J];光学学报;2012年06期
10 罗宇智;陈t，
本文编号：2396185
本文链接：https://www.wllwen.com/kejilunwen/yysx/2396185.html
