- Implementing Dempster-Shafer Theory for Property Similarity in Conceptual Spaces Modeling.Jeremy R. Chapman, John L. Crassidis, James Llinas, Barry Smith & David Kasmier - 2022 - Sensor Systems and Information Systems IV, American Institute of Aeronautics and Astronautics (AIAA) SCITECH Forum 2022.details
- Conditioning and Interpretation Shifts.Jan-Willem Romeijn - 2012 - Studia Logica 100 (3):583-606.details
- Luminosity and Vagueness.Elia Zardini - 2012 - Dialectica 66 (3):375-410.details
- A Betting Interpretation for Probabilities and Dempster-Shafer Degrees of Belief.Glenn Shafer - 2010 - International Journal of Approximate Reasoning.details
- Dempster-Shafer Theory.Jonathan Weisberg - 2010details
- Comparing Approximate Reasoning and Probabilistic Reasoning Using the Dempster-Shafer Framework.Ronald R. Yager - 2009 - International Journal of Approximate Reasoning 50 (5):812--821.details
- The Dempster-Shafer Calculus for Statisticians.Arthur Dempster - 2008 - International Journal of Approximate Reasoning 48 (2):365--377.details
- Conjunctive and Disjunctive Combination of Belief Functions Induced by Nondistinct Bodies of Evidence.Thierry Denoeux - 2008 - Artificial Intelligence 172 (2--3):234--264.details
- Formal Representations of Belief.Franz Huber - 2008 - Stanford Encyclopedia of Philosophy.details
- The Metaphysical Character of the Criticisms Raised Against the Use of Probability for Dealing with Uncertainty in Artificial Intelligence.Carlotta Piscopo & Mauro Birattari - 2008 - Minds and Machines 18 (2):273-288.details
- Characterizing and Reasoning About Probabilistic and Non-Probabilistic Expectation.Joseph Y. Halpern & Riccardo Pucella - 2007 - J. Acm 54 (3):15.details
- Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory.Stephan Hartmann & Rolf Haenni - 2006 - Information Fusion 7:361-379.details
- Analyzing the Degree of Conflict Among Belief Functions.Weiru Liu - 2006 - Artificial Intelligence 170 (11):909--924.details
- Reasoning About Uncertainty.Joseph Y. Halpern - 2003 - MIT Press.details
- Belief Function Independence: II. The Conditional Case.Boutheina Ben Yaghlane, Phillippe Smets & Khaled Mellouli - 2002 - International Journal of Approximate Reasoning 31 (1--2):31--75.details
- Belief Function Independence: I. The Marginal Case.Boutheina Ben Yaghlane, Phillippe Smets & Khaled Mellouli - 2002 - International Journal of Approximate Reasoning 29 (1):47--70.details
- Connecting Dempster–Shafer Belief Functions with Likelihood-Based Inference.Mikel Aickin - 2000 - Synthese 123 (3):347-364.details
- Belief Functions and Default Reasoning.Salem Benferhat, Alessandro Saffiotti & Philippe Smets - 2000 - Artificial Intelligence 122 (1--2):1--69.details
- Knowledge-Driven Versus Data-Driven Logics.Didier Dubois, Petr Hájek & Henri Prade - 2000 - Journal of Logic, Language and Information 9 (1):65--89.details
- Evidence Theory in Multivalued Models of Modal Logic.Elena Tsiporkova, Bernard De Baets & Veselka Boeva - 2000 - Journal of Applied Non-Classical Logics 10 (1):55-81.details
- Dempster-Shafer Theory Framed in Modal Logic.Elena Tsiporkova, Vesilka Boeva & Bernard De Baets - 1999 - International Journal of Approximate Reasoning 21 (2):157--175.details
- Towards a Rough Mereology-Based Logic for Approximate Solution Synthesis. Part.Jan Komorowski, Lech T. Polkowski & Andrzej Skowron - 1997 - Studia Logica 58 (1):143-184.details
- The Normative Representation of Quantified Beliefs by Belief Functions.Philippe Smets - 1997 - Artificial Intelligence 92 (1--2):229--242.details
- Modal Logic Interpretation of Dempster-Shafer Theory: An Infinite Case.David Harmanec, George Klir & Zhenyuan Wang - 1996 - International Journal of Approximate Reasoning 14 (2--3):81--93.details
- Set-Based Bayesianism.H. Kyburg & M. Pittarelli - 1996 - Ieee Transactions on Systems, Man and Cybernetics A 26 (3):324--339.details
- Decision Making with Belief Functions.J. Y. Jaffray - 1994 - In R. Yager, M. Fedrizzi & J. Kacprzyk (eds.), Advances in the Dempster- Shafer Theory of Evidence. John Wiley. pp. 331-352.details
- Advances in the Dempster- Shafer Theory of Evidence.R. Yager, M. Fedrizzi & J. Kacprzyk (eds.) - 1994 - John Wiley.details
- Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem.Phillippe Smets - 1993 - International Journal of Approximate Reasoning 9 (1):1--35.details
- Getting Fancy with Probability.Henry E. Kyburg - 1992 - Synthese 90 (2):189-203.details
- Rejoinder to Comments on ``Reasoning with Belief Functions: An Analysis of Compatibility.Judea Pearl - 1992 - International Journal of Approximate Reasoning 6 (3):425--443.details
- Resolving Misunderstandings About Belief Functions.Phillippe Smets - 1992 - International Journal of Approximate Reasoning 6 (3):321--344.details
- Comments on Shafer's``Perspectives on the Theory and Practice of Belief Functions''.Larry Wasserman - 1992 - International Journal of Approximate Reasoning 6 (2):367--375.details
- On Spohn’s Rule for Revision of Beliefs.Prakash P. Shenoy - 1991 - International Journal of Approximate Reasoning 5 (2):149-181.details
- Reasoning with Belief Functions: An Analysis of Compatibility.Judea Pearl - 1990 - International Journal of Approximate Reasoning 4:363--389.details
- Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.details
- Bayesian and Non-Bayesian Evidential Updating.Henry E. Kyburg - 1987 - Artificial Intelligence 31 (3):271--294.details
- Bayesian and Non-Bayesian Evidence and Updating.Henry E. Kyburg - 1987 - Artificial Intelligence 31 (3):271-293.details
- On the Dempster-Shafer Framework and New Combination Rules.Ronald R. Yager - 1987 - Information Sciences 41 (2):93--137.details
- Belief Structures, Possibility Theory and Decomposable Confidence Measures on Finite Sets.Didier Dubois - 1986 - Computers and Artificial Intelligence (5):403--416.details
- A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.details
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