Markov SCGM(1, l)c Forecasting Model of Knowledge Intensive Industry in Henan Province

The development of Knowledge Intensive Industry (KIBS) is becoming more and more important. Therefore, it is especially necessary to predict the added value of the industry. In this paper, we regard the added value of Henan province's KIBS from 1992 to 2016 as original data series, applying a single gene system cloud grey SCGM(1,1)c model to imitate the entire tendency; its error index is stochastic fluctuate, then forecasting the error state by Markov theory; at last predicting the coming 3 year's added value through a combined Markov SCGM(1,1)c model, the result shows that the model has good forecast accuracy.