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Research on Grey Function Analysis Model(1,1) Considering Moutiple Factors' Impacting on System

机译:考虑Mourips因子对系统影响的灰度函数分析模型(1,1)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:由于内部和外部因素的影响,灾难经常发生在经济体系中。如果发生灾难,使用历史数据的大多数使用历史数据将失败。本文建立了基于功能理论,贝叶斯网络理论和区间灰色数字理论的灰色函数模型(1,1)的GFAM(1,1)。通过完全挖掘现有数据,可以使用该模型进行更精确的预测。本文给出了GFAM(1,1)的步骤。最后分析一种情况以证明模型的有效性。

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