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Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination

机译:基于信息分解和模型组合的区间灰数Verhulst模型

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Grey Verhulst models are often employed to simulate the development tendency with the characteristic of saturated process of S curve. However, the uncertainty of interval grey numbers will be increased since the boundaries of interval grey number are extended by the Axiom of nondecreasing grey degree in the existing Verhulst modeling method. In this paper, the interval grey number is divided into two real number parts, that is, "white" and "grey" parts.Then the "white" and "grey" parts are simulated and forecasted by building the grey Verhulst model and DGM(1, 1) model, respectively. To some degree, this method resolves the issue of amplifying the range of interval grey number. Finally, an example is used to compare the simulation performance between the new model and the traditional model, and the results show that the new model is superior to the other model.
机译:灰色Verhulst模型经常被用来模拟具有S曲线饱和过程特征的发展趋势。然而,由于在现有的Verhulst建模方法中,通过不减小灰度度的公理扩展了间隔灰度数的边界,因此将增加间隔灰度数的不确定性。本文将区间灰度数分为两个实数部分,即“白色”和“灰色”部分。然后通过建立灰色Verhulst模型和DGM来模拟和预测“白色”和“灰色”部分(1,1)模型。在某种程度上,该方法解决了放大间隔灰度数范围的问题。最后,通过实例比较了新模型与传统模型之间的仿真性能,结果表明新模型优于其他模型。

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