Smets, Ph.. Data Fusion in the Transferable Belief Model In Proc. of Fusion 2000. Paris:  Intern. Conf. on Information Fusion, 2000.

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."  International Journal of Approximate Reasoning 9 (1993): 1-35.

Smets, Ph.. Quantifying Beliefs by Belief Functions:An Axiomatic Justification In 3th International Joint Conference on Artificial Intelligence. Chamb´ery, France, 1993.

Klawonn, F., and Ph. Smets. "The dynamic of belief in the transferable belief model and specialization-generalization matrices." Uncertainty in Artificial Intelligence 92 (1992): 130-137.

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.

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.