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
  
• 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