Shafer-dempster reasoning with applications to multisensor target identification systems
IEEE Transactions on Systems, Man and Cybernetics
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A computationally efficient approximation of Dempster-Shafer theory
International Journal of Man-Machine Studies
Decision analysis using belief functions
International Journal of Approximate Reasoning
Two views of belief: belief as generalized probability and belief as evidence
Artificial Intelligence
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
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
Axioms for probability and belief-function proagation
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
A Comparison of Bayesian and Belief Function Reasoning
Information Systems Frontiers
Decision making in the TBM: the necessity of the pignistic transformation
International Journal of Approximate Reasoning
Linear utility theory for belief functions
Operations Research Letters
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
A definition of subjective possibility
International Journal of Approximate Reasoning
Inference in directed evidential networks based on the transferable belief model
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
On the Orthogonal Projection of a Belief Function
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Dual Properties of the Relative Belief of Singletons
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
A Generalization of the Pignistic Transform for Partial Bet
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
The Intersection Probability and Its Properties
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Representing uncertainty on set-valued variables using belief functions
Artificial Intelligence
Credal semantics of Bayesian transformations in terms of probability intervals
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Belief functions combination without the assumption of independence of the information sources
International Journal of Approximate Reasoning
A decision theory for partially consonant belief functions
International Journal of Approximate Reasoning
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Object association with belief functions, an application with vehicles
Information Sciences: an International Journal
Auditors' evidence evaluation and aggregation using beliefs and probabilities
International Journal of Approximate Reasoning
A skin detection approach based on the Dempster--Shafer theory of evidence
International Journal of Approximate Reasoning
On the relative belief transform
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
A proof for the positive definiteness of the Jaccard index matrix
International Journal of Approximate Reasoning
A belief function distance metric for orderable sets
Information Fusion
Environmental impact assessment based on D numbers
Expert Systems with Applications: An International Journal
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In this paper, we propose the plausibility transformation method for translating Dempster-Shafer (D-S) belief function models to probability models, and describe some of its properties. There are many other transformation methods used in the literature for translating belief function models to probability models. We argue that the plausibility transformation method produces probability models that are consistent with D-S semantics of belief function models, and that, in some examples, the pignistic transformation method produces results that appear to be inconsistent with Dempster's rule of combination.