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基于灰色关联分析的系统仿真因素权重确定
引用本文:郑立峰,唐见兵.基于灰色关联分析的系统仿真因素权重确定[J].计算机仿真,2007,24(9):76-78.
作者姓名:郑立峰  唐见兵
作者单位:1. 国防科技大学机电工程与自动化学院,湖南,长沙,410073;防空兵指挥学院,河南,郑州,450052
2. 国防科技大学机电工程与自动化学院,湖南,长沙,410073
摘    要:在系统仿真综合评估中,因素权重的确定至关重要.首先分析了在系统仿真综合评估中因素权重确定的常用方法,归纳了采用的步骤.针对常用方法存在的主观因素影响较大和工程应用中不易组织实施两方面不足,从灰色系统角度对仿真系统进行分析,进而介绍了灰色关联分析法及基于该法进行关联度的计算和权重确定的步骤,最后在某仿真系统中进行应用并对比分析采用常用方法得到的结论.结果表明,使用此法方便、简捷,可靠性高,在系统综合评估中权重的确定上具有较高的应用价值.

关 键 词:灰色关联分析  系统仿真  仿真评估  权重确定  灰色关联分析法  系统仿真  因素权重确定  Gray  Correlation  Analysis  Based  System  Simulation  Indices  Assessment  Determination  价值  系统综合评估  使用  结果  工程应用  计算  关联度  仿真系统  灰色系统  组织实施  影响
文章编号:1006-9348(2007)09-0076-03
修稿时间:2006-07-14

Weight Determination of Assessment Indices in System Simulation Based on Gray Correlation Analysis
ZHENG Li-feng,TANG Jian-bing.Weight Determination of Assessment Indices in System Simulation Based on Gray Correlation Analysis[J].Computer Simulation,2007,24(9):76-78.
Authors:ZHENG Li-feng  TANG Jian-bing
Affiliation:1. College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha Hunan 410073, China;2. Air Defence Forces Command Academy, Zhengzhou Henan 450052, China
Abstract:The weight determination of assessment indices is very important in system simulation evaluation.In this paper,the usual methods of weight determination of assessment indices are analyzed firstly and the general steps are summarized.Then to overcome the two deficiencies of the usual methods,which are influenced strongly by subjective factors and is very hard to put in practice in project,the simulation systems are analyzed based on the gray system theory.Furthermore,gray correlation analysis is introduced,and the steps for computing gray correlation degree and weight determination are presented based on it.At last,the method is used in an example of simulation and compared with usual one.The result has showed that it is absolutely convenient,simple and reliable.It has an important application value in weight determination of simulation evaluation.
Keywords:Gray correlation analysis  System simulation  Simulation evaluation  Weight determination
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