Multi-variable Grey Dynamic Forecasting Model Based on Complex Network

Multi-variable grey dynamic forecasting model is a main model of grey systems theory. In this paper, we constructed the discrete grey model of multi-variables. We contrasted the model with GM (n, h) model and the result showed two models are equal to each other through data transformation. Then we could build the bridge of discrete grey model and traditional grey model. Based on this conclusion we researched the affections multiple transformations caused to discrete grey model of multi-variables. And the results show that the values of simulative and predicative are only dependent on the multiple transformations to the main variable and independent to other variables. Relative errors are independent to all the variables. It is benefit to research on other grey models.