试验数据处理的多因素灰色模型GM(1,N)及其应用

Multi-factored grey GM(1,N) model of experimentation data processing and its application

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 。

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.