Biblio

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Filters: Автор is Ph. Smets  [Clear All Filters]
2000
Smets, Ph.. Data Fusion in the Transferable Belief Model In Proc. of Fusion 2000. Paris: Intern. Conf. on Information Fusion, 2000.
1993
Smets, Ph.. "Belief Function: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem." International Journal of Approximate Reasoning 9 (1993): 1-35.
Smets, Ph.. "Belief Function: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem(link is external)." International Journal of Approximate Reasoning 9 (1993): 1-35.
Smets, Ph.. Quantifying Beliefs by Belief Functions:An Axiomatic Justification(link is external) In 3th International Joint Conference on Artificial Intelligence. Chamb´ery, France, 1993.
1992
Klawonn, F., and Ph. Smets. "The dynamic of belief in the transferable belief model and specialization-generalization matrices(link is external)." Uncertainty in Artificial Intelligence 92 (1992): 130-137.
1991
Dubois, D., Ph. Smets, H Prade, H.E. Kyburg, and P. Garbolino. "Quantified Uncertainty." J. Applied Non-Classical Logics 1 (1991): 105-197.
Smets, Ph.. "Quantifying Beliefs by Belief Functions: An Axiomatic Justification." 13th International Joint Conf. on Artificial Intelligence (1991): 598-603.
1990
Smets, Ph.. "The Combination of Evidence in the Transferable Belief Model." IEEE Transactions on Pattern Analysis and Machine Intelligence 12 (1990): 447-458.
Smets, Ph.. Constructing the pignistic probability function in a context of uncertainty In Uncertainty in Artificial Intelligence, Edited by M. Henrion, J.F. Lemmer, L.N. Kanal and R.D. Shachter. Vol. 5. Amsterdam: North Holland, 1990.