Transferable belief model for decision making in the valuation-based systems

In this paper, we present a decision support system which is based on the transferable belief model(TBM), a model that quantiies someone's degree of belief using belief functions. The system performs evidential reasoning and decision making by integrating an evidential system for belief function propagation and a valuation-based system for Bayesian decision analysis. The two subsystems are both within the framework of the valuation-based systems. They are connected through the pignistic transformation as described in the context of the TBM. The system takes as inputs the user's beliefs about a situation, and suggests what, if any, are to be tested and in which order. It does so with a user-friendly interface. An example concerning a nuclear waste disposal problem will be given to demonstrate an application of the system in a real-world domain.