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Project risk assessment is a critical activity adopted in project risk management process to prevent risks and to enhance the success rate of projects. But so far it is a big challenge for project managers and experts to combine their expertise with intelligent technology to evaluate project risks due to insufficient risk related data. Based on this, a novel attempt to integrate analytic hierarchy process (AHP) and support vector regression (SVR) is proposed to build the assessment decision model. A prototype system called project risk assessment decision support system (PRADSS) which consists of risk index system, AHP evaluation model, intelligent evaluation system, knowledge base and man-machine interaction is brought forward to reduce negative risk factors and assist in decision making. Software project risk assessment is conducted to show the efficiency and feasibility of the prototype system.