Philippe Smets Non-Standard Probabilistic and Non Probabilistic Representations of Uncertainty. [Citation Graph (0, 0)][DBLP] IPMU, 1994, pp:13-38 [Conf]
Philippe Smets Constructing the Pignistic Probability Function in a Context of Uncertainty. [Citation Graph (0, 0)][DBLP] UAI, 1989, pp:29-40 [Conf]
Philippe Smets The transferable belief model and other interpretations of Dempster-Shafer's model. [Citation Graph (0, 0)][DBLP] UAI, 1990, pp:375-384 [Conf]
Philippe Smets The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model. [Citation Graph (0, 0)][DBLP] UAI, 1992, pp:292-297 [Conf]
Roger M. Cooke, Philippe Smets Self-Conditional Probabilities and Probabilistic Interpretations of Belief Functions. [Citation Graph (0, 0)][DBLP] Ann. Math. Artif. Intell., 2001, v:32, n:1-4, pp:269-285 [Journal]
Philippe Smets Believing on the Basis of the Evidence: Answer to Kyburg's Paper. [Citation Graph (0, 0)][DBLP] Computational Intelligence, 1994, v:10, n:, pp:94-98 [Journal]
Paul Magrez, Philippe Smets Epistemic necessity, possibility, and truth. Tools for dealing with imprecision and uncertainty in fuzzy knowledge-based systems. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1989, v:3, n:1, pp:35-57 [Journal]
Hong Xu, Philippe Smets Reasoning in evidential networks with conditional belief functions. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1996, v:14, n:2-3, pp:155-185 [Journal]
Philippe Smets The application of the matrix calculus to belief functions. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 2002, v:31, n:1-2, pp:1-30 [Journal]
Philippe Smets Decision making in the TBM: the necessity of the pignistic transformation. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 2005, v:38, n:2, pp:133-147 [Journal]
Philippe Smets Resolving misunderstandings about belief functions. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1992, v:6, n:3, pp:321-344 [Journal]
Philippe Smets Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1993, v:9, n:1, pp:1-35 [Journal]
André Ayoun, Philippe Smets Data association in multi-target detection using the transferable belief model. [Citation Graph (0, 0)][DBLP] Int. J. Intell. Syst., 2001, v:16, n:10, pp:1167-1182 [Journal]
Philippe Smets Information Content of an Evidence. [Citation Graph (0, 0)][DBLP] International Journal of Man-Machine Studies, 1983, v:19, n:1, pp:33-43 [Journal]
Philippe Smets, Branko Ristic Kalman filter and joint tracking and classification based on belief functions in the TBM framework. [Citation Graph (0, 0)][DBLP] Information Fusion, 2007, v:8, n:1, pp:16-27 [Journal]
Philippe Smets The Combination of Evidence in the Transferable Belief Model. [Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 1990, v:12, n:5, pp:447-458 [Journal]
François Delmotte, Philippe Smets Target identification based on the transferable belief model interpretation of dempster-shafer model. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2004, v:34, n:4, pp:457-471 [Journal]
Philippe Smets Analyzing the combination of conflicting belief functions. [Citation Graph (0, 0)][DBLP] Information Fusion, 2007, v:8, n:4, pp:387-412 [Journal]
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