| 基于GM(1,1)模型和灰色关联度的组合预测新方法 |
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| 引用本文： | 田宜君,朱锋峰.基于GM(1,1)模型和灰色关联度的组合预测新方法[J].科学技术与工程,2009,9(4). |
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| 作者姓名： | 田宜君 朱锋峰 |
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| 作者单位： | 华南理工大学数学科学学院,广州,510640 |
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| 摘 要： | 在一般GM(1,1)灰色预测模型的基础上,为了及时补充和利用灰信息,采用等维灰色递补的方法从而得到n-m个单个灰色预测模型进行组合预测建模,然后基于灰色关联度这一相关性指标来确定权重,得出组合预测模型值.最后,通过实例分析和精度检验表明它是一种有效的组合预测方法,且结果比较理想.
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| 关 键 词： | GM(1 1)模型 组合预测 灰色关联度 精度 |
New Forecasting Model Based on the Combination of GM(1,1) Model and Degree of Grey Incidence |
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| TIAN Yi-jun,ZHU Feng-feng.New Forecasting Model Based on the Combination of GM(1,1) Model and Degree of Grey Incidence[J].Science Technology and Engineering,2009,9(4). |
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| Authors: | TIAN Yi-jun ZHU Feng-feng |
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| Institution: | School of Mathematical Science;South China University of Technology;Guangzhou 510640;P.R.China |
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| Abstract: | On the basis of GM(1.1) grey forecasting model,in order to supply and use the information,the way of equip-dimension grey filling vacancies in the probe order to obtain N-M single grey forecasting model is adopted so that it can process the combining forecasting model.And then,to confirm the weight and get the combining forecasting model value according to the grey correlative degree,a relative index.Lastly,it reveals that it's an effective combining forecasting way by analysing the example and verifing the... |
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