基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
对基于最小几何距离的加权调和平均组合预测模型的性质进行了研究，从理论上说明了该种方法的有效性。
We study the properties of harmonic means combination forecasting method based on minimizing geometric distance to demonstrate the effectiveness of this method theoretically.
对基于最小几何距离的加权调和平均组合预测模型的性质进行了研究，从理论上说明了该种方法的有效性。
We study the properties of harmonic means combination forecasting method based on minimizing geometric distance to demonstrate the effectiveness of this method theoretically.
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