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Grey Unbiased GOM(1,1) Model Based on Inverse Accumulated Generating Operation And Its Application

机译:基于逆累积的生成操作及其应用的灰色非偏见GOM(1,1)模型及其应用

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摘要

The accuracy of the traditional grey model is not high for the monotonic decreasing data and the model can not satisfy the compatibility conditions which make the error be not avoided. The paper adopts inverse accumulated generating operation and unbiased GM(1,1) model to induces the parameters in the model and establishes the unbiased grey unbiased GOM(1,1) model based on inverse accumulated generating operation. The model has high accuracy and has good value in the theory and practice. The examples show it is practical and reliable.
机译:单调减少数据的传统灰色模型的准确性不高,模型不能满足使得不避免错误的兼容性条件。本文采用逆累积的生成操作和非偏见的GM(1,1)模型来引起模型中的参数,并基于逆累积产生操作来建立非偏叠灰色非偏见的GOM(1,1)模型。该模型的准确性高,在理论和实践中具有良好的价值。实施例表明它是实用可靠的。

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