基于误差特征分析的仿真模型可信性综合评估  

Synthesis evaluation of simulation model credibility based on error feature analysis

作　　者：吴静[1] 吴晓燕[1] 滕江川[1] 陈永兴[1] 

机构地区：[1]空军工程大学导弹学院,陕西咸阳713800

出　　处：《计算机集成制造系统》2011年第3期649-652,共4页Computer Integrated Manufacturing Systems

基　　金：陕西省自然科学基础研究计划资助项目(2007F40);总装备部预研资助项目(513040104)~~

摘　　要：针对传统模型验证方法存在的不足,提出了基于误差特征分析的仿真模型可信性综合评估方法。分析了常用的误差特征指标,建立了多指标误差特征矩阵,研究了基于熵权和灰色关联分析的综合评估方法,探讨了该方法在模型验证中的应用。实例分析表明,该方法能有效降低传统误差分析法依赖单一指标进行模型可信性评判所面临的风险。Aiming at the problems existed in traditional model validation methods,a methodology of grey synthesis evaluation of model credibility based on error feature analysis was proposed.Error feature indicators were analyzed and multi-indicator error feature matrix was established.Furthermore,grey synthesis evaluation method based on entropy weight and grey relational analysis was discussed in detail.Finally,the proposed method was applied to model validation.Application result showed that this method could reduce risks faced by traditional error analysis effectively,which were caused by using only on indicator to assess model credibility.

关 键 词：误差特征分析 模型验证 信息熵 灰色关联分析 仿真 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]