Classic Works of the Dempster-Shafer Theory of Belief Functions 2008

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