Philippe Smets (1938-2005)

[1]  Didier Dubois,et al.  A definition of subjective possibility , 2008, Int. J. Approx. Reason..

[2]  Branko Ristic,et al.  Kalman filter and joint tracking and classification based on belief functions in the TBM framework , 2007, Inf. Fusion.

[3]  Branko Ristic,et al.  The TBM global distance measure for the association of uncertain combat ID declarations , 2006, Inf. Fusion.

[4]  P. Smets,et al.  Target identification using belief functions and implication rules , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[5]  P. Smets.  Managing deceitful reports with the transferable belief model , 2005, 2005 7th International Conference on Information Fusion.

[6]  Philippe Smets,et al.  Decision making in the TBM: the necessity of the pignistic transformation , 2005, Int. J. Approx. Reason..

[7]  Philippe Smets,et al.  Target identification based on the transferable belief model interpretation of dempster-shafer model , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[8]  Khaled Mellouli,et al.  Belief function independence: II. The conditional case , 2002, Int. J. Approx. Reason..

[9]  P. Smets.  The application of the matrix calculus to belief functions , 2002, Int. J. Approx. Reason..

[10]  P. Smets.  Decision Making in a Context where Uncertainty is Represented by Belief Functions , 2002 .

[11]  Khaled Mellouli,et al.  Belief function independence: I. The marginal case , 2002, Int. J. Approx. Reason..

[12]  Khaled Mellouli,et al.  Belief decision trees: theoretical foundations , 2001, Int. J. Approx. Reason..

[13]  Philippe Smets,et al.  Data association in multi‐target detection using the transferable belief model , 2001, Int. J. Intell. Syst..

[14]  Didier Dubois,et al.  New Semantics for Quantitative Possibility Theory , 2001, ECSQARU.

[15]  P. Smets.  Data fusion in the transferable belief model , 2000, Proceedings of the Third International Conference on Information Fusion.

[16]  Philippe Smets,et al.  Practical Uses of Belief Functions , 1999, UAI.

[17]  Philippe Smets.  No Dutch Book can be built against the TBM even though update is not obtained by Bayes rule of conditioning , 1999 .

[18]  Philippe Smets.  Application of the transferable belief model to diagnostic problems , 1998, Int. J. Intell. Syst..

[19]  P. Smets.  Numerical Representation of Uncertainty. , 1998 .

[20]  Philippe Smets,et al.  The Transferable Belief Model for Quantified Belief Representation , 1998 .

[21]  Philippe Smets,et al.  Probability, Possibility, Belief: Which and Where? , 1998 .

[22]  Philippe Smets,et al.  The Normative Representation of Quantified Beliefs by Belief Functions , 1997, Artif. Intell..

[23]  Didier Dubois,et al.  Representing partial ignorance , 1996, IEEE Trans. Syst. Man Cybern. Part A.

[24]  Hong Xu,et al.  Reasoning in evidential networks with conditional belief functions , 1996, Int. J. Approx. Reason..

[25]  Philippe Smets,et al.  The Canonical Decomposition of a Weighted Belief , 1995, IJCAI.

[26]  Philippe Smets,et al.  The Transferable Belief Model , 1991, Artif. Intell..

[27]  Philippe Smets,et al.  What is Dempster-Shafer's model? , 1994 .

[28]  Philippe Smets.  Quantifying Beliefs by Belief Functions: An Axiomatic Justification , 1993, IJCAI.

[29]  Philippe Smets,et al.  Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem , 1993, Int. J. Approx. Reason..

[30]  Hong Xu,et al.  A Belief-Function Based Decision Support System , 1993, UAI.

[31]  Philippe Smets,et al.  The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model , 1992, UAI.

[32]  Frank Klawonn,et al.  The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices , 1992, UAI.

[33]  Philippe Smets,et al.  Resolving misunderstandings about belief functions , 1992, Int. J. Approx. Reason..

[34]  Philippe Smets,et al.  The transferable belief model and random sets , 1992, Int. J. Intell. Syst..

[35]  Philippe Smets,et al.  Varieties of ignorance and the need for well-founded theories , 1991, Inf. Sci..

[36]  Philippe Smets,et al.  Computational aspects of the Mobius transformation , 1990, UAI.

[37]  Philippe Smets.  The transferable belief model and other interpretations of Dempster-Shafer's model , 1990, UAI.

[38]  Philippe Smets,et al.  Fast Algorithms for Dempster-Shafer Theory , 1990, IPMU.

[39]  Philippe Smets,et al.  The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[40]  Philippe Smets,et al.  Fuzzy modus ponens: A new model suitable for applications in knowledge‐based systems , 1989, Int. J. Intell. Syst..

[41]  Philippe Smets,et al.  Constructing the Pignistic Probability Function in a Context of Uncertainty , 1989, UAI.

[42]  Philippe Smets.  Transferable Belief Model Versus Bayesian Model , 1988, ECAI.

[43]  P. Smets,et al.  The measure of the degree of truth and the grade of membership , 1988 .

[44]  Philippe Smets,et al.  Implication in fuzzy logic , 1987, Int. J. Approx. Reason..

[45]  P. Smets.  Probability of a fuzzy event: An axiomatic approach , 1982 .

[46]  Philippe Smets,et al.  The degree of belief in a fuzzy event , 1981, Inf. Sci..

[47]  P. Smets.  Medical diagnosis: Fuzzy sets and degrees of belief , 1981 .

[48]  Ph. Smets.  Theory of Evidence and Medical Diagnostic , 1978 .