Abstract is missing.
- Classic Works of the Dempster-Shafer Theory of Belief Functions: An IntroductionLiping Liu, Ronald R. Yager. 1-34 [doi]
- New Methods for Reasoning Towards PosteriorDistributions Based on Sample DataArthur P. Dempster. 35-56 [doi]
- Upper and Lower Probabilities Induced by a Multivalued MappingArthur P. Dempster. 57-72 [doi]
- A Generalization of Bayesian InferenceArthur P. Dempster. 73-104 [doi]
- On Random Sets and Belief FunctionsHung T. Nguyen. 105-116 [doi]
- Non-Additive Probabilities in the Work of Bernoulli and LambertGlenn Shafer. 117-182 [doi]
- Allocations of ProbabilityGlenn Shafer. 183-196 [doi]
- Computational Methods for A Mathematical Theory of EvidenceJeffrey A. Barnett. 197-216 [doi]
- Constructive ProbabilityGlenn Shafer. 217-264 [doi]
- Belief Functions and Parametric ModelsGlenn Shafer. 265-290 [doi]
- Entropy and Specificity in a Mathematical Theory of EvidenceRonald R. Yager. 291-310 [doi]
- A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis SpaceJean Gordon, Edward H. Shortliffe. 311-344 [doi]
- Languages and Designs for Probability JudgmentGlenn Shafer, Amos Tversky. 345-374 [doi]
- A Set-Theoretic View of Belief FunctionsDidier Dubois, Henri Prade. 375-410 [doi]
- Weights of Evidence and Internal Conflict for Support FunctionsNevin Lianwen Zhang. 411-418 [doi]
- A Framework for Evidential-Reasoning SystemsJohn D. Lowrance, Thomas D. Garvey, Thomas M. Strat. 419-434 [doi]
- Epistemic Logics, Probability, and the Calculus of EvidenceEnrique H. Ruspini. 435-448 [doi]
- Implementing Dempster s Rule for Hierarchical EvidenceGlenn Shafer, Roger Logan. 449-476 [doi]
- Some Characterizations of Lower Probabilities and Other Monotone Capacities through the use of Möbius InversionAlain Chateauneuf, Jean-Yves Jaffray. 477-498 [doi]
- Axioms for Probability and Belief-Function PropagationPrakash P. Shenoy, Glenn Shafer. 499-528 [doi]
- Generalizing the Dempster-Shafer Theory to Fuzzy SetsJohn Yen. 529-554 [doi]
- Bayesian Updating and Belief FunctionsJean-Yves Jaffray. 555-576 [doi]
- Belief-Function Formulas for Audit RiskRajendra P. Srivastava, Glenn R. Shafer. 577-618 [doi]
- Decision Making Under Dempster-Shafer UncertaintiesRonald R. Yager. 619-632 [doi]
- Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian TheoremPhilippe Smets. 633-664 [doi]
- Representation of Evidence by HintsJürg Kohlas, Paul-André Monney. 665-681 [doi]
- Combining the Results of Several Neural Network ClassifiersGalina L. Rogova. 683-692 [doi]
- The Transferable Belief ModelPhilippe Smets, Robert Kennes. 693-736 [doi]
- A ::::k:::: -Nearest Neighbor Classification Rule Based on Dempster-Shafer TheoryThierry Denoeux. 737-760 [doi]
- Logicist Statistics II: InferenceArthur P. Dempster. 761-786 [doi]