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1
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B. Ristic and Ph. Smets. A solution to the data association problem for the tbm based classification of multiple objects. Int. J. Information Fusion, forthcoming, 2005.
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B. Ristic and Ph. Smets. A solution to the data association problem for the tbm based classification of multiple objects. Int. J. Information Fusion, forthcoming, 2005.
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4
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0010530228
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The transferable belief model for quantified belief representation
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A. Motro and Ph. Smets, editors, Kluwer, Boston, MA
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Ph. Smets and R. Kruse. The transferable belief model for quantified belief representation. In A. Motro and Ph. Smets, editors, Uncertainty Management in Information Systems: from Needs to Solutions, pages 343-368. Kluwer, Boston, MA., 1997.
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The transferable belief model for quantified belief representation
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D. M. Gabbay and Ph. Smets, editors, Kluwer, Doordrecht, The Netherlands
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Ph. Smets. The transferable belief model for quantified belief representation. In D. M. Gabbay and Ph. Smets, editors, Handbook of Defeasible Reasoning and Uncertainty Management Systems, volume 1, pages 267-301. Kluwer, Doordrecht, The Netherlands, 1998.
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Constructing the pignistic probability function in a context of uncertainty
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M. Henrion, R. D. Shachter, L. N. Kanal, and J. F. Lemmer, editors, North Holland, Amsterdam
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Ph. Smets. Constructing the pignistic probability function in a context of uncertainty. In M. Henrion, R. D. Shachter, L. N. Kanal, and J. F. Lemmer, editors, Uncertainty in Artificial Intelligence 5, pages 29-40. North Holland, Amsterdam, 1990.
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7
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Decision making in a context where uncertainty is represented by belief functions
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R. P. Srivastava and T.J. Mock, editors, Physica-Verlag, Heidelberg, Germany
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Ph. Smets. Decision making in a context where uncertainty is represented by belief functions. In R. P. Srivastava and T.J. Mock, editors, Belief Functions in Business Decisions, pages 17-61. Physica-Verlag, Heidelberg, Germany, 2002.
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Decision making in the TBM: The necessity of the pignistic transformation
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Ph. Smets. Decision making in the TBM: the necessity of the pignistic transformation. Int. J. Approximate Reasoning, 38:133-147, 2005.
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A set-theoretic view of belief functions: Logical operations and approximations by fuzzy sets
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D. Dubois and H. Prade. A set-theoretic view of belief functions: logical operations and approximations by fuzzy sets. International Journal of General Systems, 12:193-226, 1986.
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10
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The alpha-junctions: Combination operators applicable to belief functions
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D.M Gabbay, R. Kruse, A. Nonnengart, and H.J. Ohlbach, editors, Springer
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Ph. Smets. The alpha-junctions: combination operators applicable to belief functions. In D.M Gabbay, R. Kruse, A. Nonnengart, and H.J. Ohlbach, editors, Qualitative and quantitative practical reasoning, pages 131-153. Springer, 1997.
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Evidential reasoning: An implementation for multisensor integration
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Technical Report 307, SRI International, 1983
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J Lowrance and T. Garvey. Evidential reasoning: an implementation for multisensor integration. Technical Report 307, SRI International, 1983.
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On nonspecific evidence
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J. Schubert. On nonspecific evidence. Int. J. Intell. Syst., 8(6):711-725, 1993.
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Analyzing the combination of conflicting belief functions
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submitted
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Ph. Smets. Analyzing the combination of conflicting belief functions, submitted, 2004.
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