On the Essential Conditions of Difference Information and Class Ratio Dispersion of Several Kinds of Data Processing Methods Reducing in Grey Predicting Modelling

In this paper, author presents the essential conditions of difference information and class ratio dispersion reducing by logarithm and root sequence. They also point out that although new data is in the range suitable of the model, the error after it returns to original state might be great.