A valuation-based language for expert systems
International Journal of Approximate Reasoning
Decision analysis using belief functions
International Journal of Approximate Reasoning
PULCinella: a general tool for propagating uncertainty in valuation networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
A fusion algorithm for solving Bayesian decision problems
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
An efficient implementation of belief function propagation
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
Valuation-based systems for Bayesian decision analysis
Operations Research
A decision calculus for belief functions in valuation-based systems
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Constructing the Pignistic Probability Function in a Context of Uncertainty
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Valuation-based systems for discrete optimisation
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
In Memoriam: Philippe Smets (1938--2005)
Fuzzy Sets and Systems
In memoriam: Philippe Smets (1938-2005)
International Journal of Approximate Reasoning
An information systems security risk assessment model under uncertain environment
Applied Soft Computing
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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.