Integrated Forecast System with PSVF and Its Application to Forecast China´s Possession of Private Passenger Vehicles

Forecast is very complex due to many relative factors, and new forecast methods and methodologies have attracted more and more scholars from information science fields. This paper presents a new interactive human-machine integrated forecast system with PSVF. First, the framework for integrated forecast system with PSVF is developed base on the thoughts of system science. Then, some key modules of this integrated forecast system, such as Preprocessing information(P), Selecting forecast method and modeling(S), Verifying forecasting precision(V) and Feeding back forecasting model(F), are expatiated in detail. Finally, its validity is demonstrated with a case to forecast China´s possession of private passenger vehicles.