Research on characteristics of grey non-equidistant Verhulst model

In this paper multiple transformation method was made for the data series of grey non-equidistant Verhulst model. The least square estimate method was used to get parameters series of multiple transformations. The changes on parameters characteristics of the model under multiple transformations were analyzed, and the affect of multiple transformations to the value of simulation, prediction precision and the relative error of the model were discussed in details. The numerical results show that the simulative and predicative results of the model are consistent, while the magnitude of the data is reduced.