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ORCIDClassic Works of the Dempster-Shafer Theory of Belief Functions 2008
- Ronald R. Yager, Liping Liu:
Classic Works of the Dempster-Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing 219, Springer 2008, ISBN 978-3-540-25381-5 - Liping Liu, Ronald R. Yager:
Classic Works of the Dempster-Shafer Theory of Belief Functions: An Introduction. 1-34 - Arthur P. Dempster:
New Methods for Reasoning Towards PosteriorDistributions Based on Sample Data. 35-56 - Arthur P. Dempster:
Upper and Lower Probabilities Induced by a Multivalued Mapping. 57-72 - Arthur P. Dempster:
A Generalization of Bayesian Inference. 73-104 - Hung T. Nguyen:
On Random Sets and Belief Functions. 105-116 - Glenn Shafer:
Non-Additive Probabilities in the Work of Bernoulli and Lambert. 117-182 - Glenn Shafer:
Allocations of Probability. 183-196 - Jeffrey A. Barnett:
Computational Methods for A Mathematical Theory of Evidence. 197-216 - Glenn Shafer:
Constructive Probability. 217-264 - Glenn Shafer:
Belief Functions and Parametric Models. 265-290 - Ronald R. Yager:
Entropy and Specificity in a Mathematical Theory of Evidence. 291-310 - Jean Gordon, Edward H. Shortliffe
:
A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space. 311-344 - Glenn Shafer, Amos Tversky:
Languages and Designs for Probability Judgment. 345-374 - Didier Dubois, Henri Prade:
A Set-Theoretic View of Belief Functions. 375-410 - Nevin Lianwen Zhang:
Weights of Evidence and Internal Conflict for Support Functions. 411-418 - John D. Lowrance, Thomas D. Garvey, Thomas M. Strat:
A Framework for Evidential-Reasoning Systems. 419-434 - Enrique H. Ruspini:
Epistemic Logics, Probability, and the Calculus of Evidence. 435-448 - Glenn Shafer, Roger Logan:
Implementing Dempster's Rule for Hierarchical Evidence. 449-476 - Alain Chateauneuf, Jean-Yves Jaffray:
Some Characterizations of Lower Probabilities and Other Monotone Capacities through the use of Möbius Inversion. 477-498 - Prakash P. Shenoy, Glenn Shafer:
Axioms for Probability and Belief-Function Propagation. 499-528 - John Yen:
Generalizing the Dempster-Shafer Theory to Fuzzy Sets. 529-554 - Jean-Yves Jaffray:
Bayesian Updating and Belief Functions. 555-576 - Rajendra P. Srivastava, Glenn R. Shafer:
Belief-Function Formulas for Audit Risk. 577-618 - Ronald R. Yager:
Decision Making Under Dempster-Shafer Uncertainties. 619-632 - Philippe Smets:
Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem. 633-664 - Jürg Kohlas, Paul-André Monney:
Representation of Evidence by Hints. 665-681 - Galina L. Rogova:
Combining the Results of Several Neural Network Classifiers. 683-692 - Philippe Smets, Robert Kennes:
The Transferable Belief Model. 693-736 - Thierry Denoeux:
A k -Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory. 737-760 - Arthur P. Dempster:
Logicist Statistics II: Inference. 761-786
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