A Belief-Function Based Decision Support System
  In this paper, we present a decision support system based on belief functions
and the pignistic transformation. The system is an integration of an evidential
system for belief function propagation and a valuation-based system for
Bayesian decision analysis. The two subsystems are connected through the
pignistic transformation. The system takes as inputs the user's "gut feelings"
about a situation and suggests what, if any, are to be tested and in what
order, and it does so with a user friendly interface.
