基于复相关—信息灵敏度的C4ISR评估指标体系构建
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摘要
建立合理的指标体系是指挥信息系统效能评估的关键。从作战效能和系统性能的角度,通过定性分析的指标筛选方法,构建了指挥信息系统海选评估指标体系;运用复相关系数分析的方法剔除同一准则层中复相关系数较大的指标;以相对离散系数作为指标的信息含量,通过累计信息灵敏度分析剔除信息含量偏小的指标;最后,以作战仿真实验数据为基础,从68个海选指标中筛选出的27个指标累计信息灵敏度达到86.601%,反映了初选指标的大部分信息,说明了指标筛选方法的可行性。
The establishment of a reasonable index system is the key to the effectiveness evaluation of C4 ISR system. First,through the filtration methods of qualitative analyses,the evaluation index System for C4 ISR is established from the perspective of operational effectiveness and system performance. Secondly,by using the method of multiple correlation coefficient analysis,the indexes which multiple correlation coefficient is bigger in the same criterion layer are eliminated. Thirdly,the relative dispersion coefficient is used as the information content of index,the indexes with little information content are eliminated by using the method of cumulative sensitivity of information analysis.Finally,based on the experimental data of operational simulation,the 27 indexes which are selected form the 68 indexes reflect most of the index of information. The cumulative sensitivity of information of the 27 indexes is up to 86.601 % which illustrate that the filtration methods of index is available.
The establishment of a reasonable index system is the key to the effectiveness evaluation of C4 ISR system. First,through the filtration methods of qualitative analyses,the evaluation index System for C4 ISR is established from the perspective of operational effectiveness and system performance. Secondly,by using the method of multiple correlation coefficient analysis,the indexes which multiple correlation coefficient is bigger in the same criterion layer are eliminated. Thirdly,the relative dispersion coefficient is used as the information content of index,the indexes with little information content are eliminated by using the method of cumulative sensitivity of information analysis.Finally,based on the experimental data of operational simulation,the 27 indexes which are selected form the 68 indexes reflect most of the index of information. The cumulative sensitivity of information of the 27 indexes is up to 86.601 % which illustrate that the filtration methods of index is available.
引文
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[2]臧磊,蒋晓原,王钰,等. C4ISR系统作战效能评估指标体系研究[J].系统仿真学报,2008,20(3):574-577.
[3]苏耀峰.基于ADC法的指挥信息系统效能评估[J].现代计算机,2016,33(11):37-39.
[4]蹇成刚,周万宁,董亚卓.基于仿真的指挥信息系统效能评估框架研究[J].指挥控制与仿真,2013,35(6):137-140.
[5]DAVID S A,JOHN J G,FREDERICK P S. Network centric warfare:developing and leveraging information superiority[R]. USA:Do D C4ISR Cooperative Research Program,1999.
[6]孙源泽,赵东杰.基于灰靶理论的指挥信息系统性能指标贡献率评估方法[J].指挥与控制学报,2015,1(2):228-231.
[7]初剑锋.基于云模型的炮兵旅指挥信息系统效能评估研究[D].长沙:国防科技大学,2010.
[8]董亚卓,詹武,常歌,等.指挥信息系统指标体系划分方法综述[J].电光与控制,2014,21(1):51-53.
[9]吕香亭.综合评价指标筛选方法综述[J].合作经济与发展,2009,26(6):54-54.
[10]汪东华.多元统计分析与SPSS应用[M].上海:华东理工大学出版社,2010.
[11]魏燕明,张雪艳,岳奕丹,等.基于模糊物元分析法的坦克作战效能评估[J].火力与指挥控制,2017,42(11):151-155.
[12]戎华,陈求,杨熙.基于多侦察资源的电子侦察作战效能评估模型[J].火力与指挥控制,2017,42(1):84-86.
[13]罗小明,朱延雷,何榕.基于复杂网络的武器装备体系贡献度评估分析方法[J].火力与指挥控制,2017,42(2):83-87.
[14]HILD K E,ERDOGMUS D,TORKKOLA K,et al. Feature extraction using information-theoretic learning[J].IEEE Transactions on Pattern Analysis and Machine Intellogence,2006,28(9):B85-B92.