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Research on grey function analysis model(1,1) considering moutiple factors' impacting on system

机译:考虑多因素影响系统的灰函数分析模型(1,1)的研究

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Because of the internal and external factors' influence, catastrophe occurs frequently in the economic system. Most of the current prediction models which use historical data will fail if catastrophe occurs. This paper establishes GFAM (1, 1) which is an grey function model (1,1) based on functional theory, Bayesian Network theory and Interval Grey Number theory. More precise prediction can be made with this model by fully mining the existing data. Steps of GFAM (1, 1) are given in the paper. Finally a case is analyzed to prove the effectiveness of the model.
机译:由于内在和外在因素的影响,灾难在经济体系中经常发生。如果发生灾难,当前大多数使用历史数据的预测模型都将失败。本文基于泛函理论,贝叶斯网络理论和区间灰数理论,建立了灰色函数模型(1,1)GFAM(1,1)。通过完全挖掘现有数据,可以使用此模型进行更精确的预测。本文给出了GFAM(1,1)的步骤。最后,通过案例分析证明了该模型的有效性。

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