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基于对抗仿真数据的作战效能评估方法论研究 被引量:10

Research on Methodology of Operational Efficiency Evaluation Based on Combat Simulation Data
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摘要 作战效能评估是基于对抗仿真进行武器装备体系论证、作战概念与战法研究、作战方案验证、战场态势与战果预测、部队作战能力分析等各类仿真应用的前提。但是长期以来对于对抗仿真数据的应用仅仅停留在简单统计的水平上。从突破传统的作战效能评估理念入手,以系统论为指导,提出了整体评估与效能分析相结合的新型作战效能评估方法论,明确了以整体评估、信息效能分析、灵敏度分析、贡献度分析、因果追溯分析为核心的对抗仿真作战效能评估内容和评估流程,并以此为需求牵引出了对抗仿真数据内容、粒度和结构需求,设计了支撑作战效能评估的对抗仿真数据结构。 Operational efficiency evaluation is the premise of all kinds of combat simulation applications,including weaponry system demonstration,operational concepts and tactical research,operational plans verification,battlefield situation and battle result prediction,war fighting capability analysis,and so on.But for a long time,the application of simulation data had only stayed in the level of simple statistics.Starting from the breakthrough of the traditional operational efficiency evaluation concept and guided by system theory,a new operational efficiency evaluation methodology integrating the overall evaluation and the efficiency analysis was put forward.And the contents and processes of operational efficiency evaluation based on combat simulation were clarified,the cores of which were overall evaluation,information efficiency analysis,sensitivity analysis,contribution analysis,causal traceability analysis.Finally,the demands of combat simulation data content,granularity and structure were educed by the above evaluation demands,and the combat simulation structures supporting the operational efficiency evaluation were designed.
出处 《系统仿真学报》 CAS CSCD 北大核心 2013年第S1期366-371,共6页 Journal of System Simulation
关键词 对抗仿真 数据分析 作战效能 评估 方法论 combat simulation data analysis operational efficiency evaluation methodology
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  • 1蔡毅,邢岩,胡丹.敏感性分析综述[J].北京师范大学学报(自然科学版),2008,44(1):9-16. 被引量:198
  • 2Boukhonnier,Levis.System Effectiveness Analysis of C3Systems[].IEEE Trans on SystemaMan and Cybernetics.1984

二级参考文献35

  • 1陈太聪,韩大建,苏成.参数灵敏度分析的神经网络方法及其工程应用[J].计算力学学报,2004,21(6):752-756. 被引量:26
  • 2万文,曹平,吴永恒.弹塑性极限平衡法分析复杂岩质边坡的稳定性[J].中国安全科学学报,2004,14(6):100-104. 被引量:72
  • 3杨秀芝,贾春梅.投资项目因素敏感性分析[J].边疆经济与文化,2005(12):35-37. 被引量:4
  • 4McKay M D, Beckman R J, Conover W J. A comparison of three methods fro selecting values of input variables in the analysis of output from a computer code[J]. Technometrics, 1979, 21:239
  • 5Cukier R I, Fortuin C M, Shuler K E, et al. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficientsI[J]. Theory J Chem Phys, 1973, 59: 3873
  • 6Cukier R I, Levine H B, Shuler K E. Nonlinear sensitivity analysis of multiparameter model systems[J]. J Comput Phys, 1978, 26:1
  • 7Cukier R I, Schaibly J H, Shuler K E, et al. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients Ⅲ: analysis of the approximations[J].J Chem Phys, 1975, 63:1140
  • 8Saltelli A, Marivoet J. Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques[J].Reliability Engineering and System Safety, 1990, 28:229
  • 9Morris M D. Factorial sampling plans for preliminary computational experiments [J]. Technometrics, 1991, 33:161
  • 10Sobol I M. Sensitivity estimates for nonlinear mathematical models [ J ]. Math Modeling & Computational Experiment, 1993(1):407

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