This paper presents an intelligence decision supporting system to prevent and control such disease like SARS. Using some new decision supporting theories, an intelligent decision supporting system can be created to conduct the noise analysis of SARS epidemic situation, forecast the evolution direction of the epidemic, and give proper solution. The system is divided into four parts： noise analysis subsystem, forecast and simulate subsystem, treatment and control subsystem and second recovery subsystem. The forecast subsystem is based on FGR system, which combines forecast methods of traditional differential equations with data analysis.