摘要
本文以积分生成代替传统的累加生成方法，并用双向差分建立了积分ＧＭ（１，１）灰色预测模型，证明了该模型在处理波动数据列时的优越性。最后通过具体实例计算证实了积分ＧＭ（１，１）预测模型的良好的预测效果。
In this paper,the authors,using integral generating operation instead of theconventional AGO,establish the integral GM(1,1) forecasting model ,and describe itsadvantages in dealing with fluctuating sequence, And they illustrate the satisfactoryforecasting results the model produces.
