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 to represent someone's de gree of belief based on belief functions. The system performs reasonin g and decision making by integrating a system for belief propagation a nd a system for Bayesian decision analysis. The two subsystems are dev eloped within the framework of the valuation-based systems, They are c onnected through the pignistic transformation as described in the cont ext of the TBM. The system takes as inputs the user's beliefs and util ities, and suggests either the optimal decision or the optimal sequenc e of decisions, An example concerning a nuclear waste disposal problem will be given to demonstrate the applicability of the system in a rea l-world domain.