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试验数据处理的多因素灰色模型GM(1,N)及其应用
引用本文:张龙庭,罗佑新. 试验数据处理的多因素灰色模型GM(1,N)及其应用[J]. 机械设计, 2003, 20(3): 23-25
作者姓名:张龙庭  罗佑新
作者单位:常德师范学院,机械工程系,湖南,常德,415003
基金项目:湖南省教育厅高校科研资助项目 (0 1C40 4 )
摘    要:在分析试验数据处理的现状后,运用灰色系统理论,通过优化模型系数与背景取值,建立了多因素灰色GM(1,N)模型。该模型克服了现有GM(1,N)模型的不足,扩宽了GM(1,N)模型的应用范围,具有精度高、使用简便等特点,计算实例表明,该模型简单实用,值得在试验数据处理中推广应用。

关 键 词:灰色GM(1  N)模型 试验 数据处理
文章编号:1001-2354(2003)03-0023-02

Multi-factored grey GM(1,N) model of experimentation data processing and its application
ZHANG Long ting,LUO You xin. Multi-factored grey GM(1,N) model of experimentation data processing and its application[J]. Journal of Machine Design, 2003, 20(3): 23-25
Authors:ZHANG Long ting  LUO You xin
Abstract:After the present situation of experimentation data processing is being analyzed, utilizing the theory of grey system, by means of optimizing model coefficient and background value adoption, the multi-factored grey GM(1, N ) model is established. This model overcame the deficiency of the existing GM(1, N ) model, broadened the applicational range of GM(1, N ) model and possesses the distinguishing features of high accuracy and handy to apply etc.. A calculation example shows that this model is simple and practical and worthy to be used broadly in data processing of experiment.
Keywords:grey GM(1   N ) model  experimentation  data processing
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