基于灰色关联分析的仿真数据可信度评估  

Credibility Evaluation of Simulation Data Based on Grey Correlation Analysis

作　　者：刘博元[1] 姜嘉慧[1] 范文慧[1] 曲慧杨[2] 侯宝存[2] 

机构地区：[1]清华大学自动化系,北京100084 [2]北京仿真中心,北京100854

出　　处：《系统仿真技术》2014年第1期32-35,共4页System Simulation Technology

摘　　要：计算机仿真系统已经发展为重要的产品开发和系统测试手段。由于仿真系统对于用户往往是透明的,所以直接从系统本身对其可信度进行评估比较复杂。仿真数据是仿真系统的直接输出,它可以最直观地反映仿真系统的本身性质,所以对于仿真数据可信度的评估尤为重要。为了能够对仿真数据可信度有着更好的评价,通过引入灰色系统理论,建立了仿真数据的灰色关联分析方法。最后通过一个实例具体说明了该理论在仿真可信度评估中的应用。Computer simulation has developed into an important method of product development and system test. As simulation system is transparent to users, it is complicated to evaluate the credibility from the simulation system itself. Simulation data is the direct output of simulation system, and the data can intuitively reflect the nature of its corresponding system, so the evaluation of simulation data is becoming more and more important. To get a better evaluation of the data, in this paper, grey system theory is introduced, and a grey correlation analysis method of simulation data is established. Finally, an example is given to illustrate the concrete application of this method in the evaluation of simulation credibility

关 键 词：仿真数据 灰色关联分析 可信度评估 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]