A. Aregui and T. Denoeux, Constructing consonant belief functions from sample data using confidence sets of pignistic probabilities, International Journal of Approximate Reasoning, vol.49, issue.3, pp.575-594, 2008.
DOI : 10.1016/j.ijar.2008.06.002

T. Denoeux, The cautious rule of combination for belief functions and some extensions, 2006 9th International Conference on Information Fusion, pp.1-8, 2006.
DOI : 10.1109/ICIF.2006.301572

E. Lefevre, O. Colot, and P. Vannoorenberghe, Belief function combination and conflict management, Information Fusion, vol.3, issue.2, pp.149-162, 2002.
DOI : 10.1016/S1566-2535(02)00053-2

W. Liu, J. G. Hughes, and M. F. Mctear, Representing Heuristic Knowledge in D-S Theory, Proceedings of the Eighth international conference on Uncertainty in artificial intelligence, UAI'92, pp.182-190, 1992.
DOI : 10.1016/B978-1-4832-8287-9.50030-X

C. Osswald, Controling the number of focal elements -some combinatorial considerations, Belief Functions of Advances in Soft Computing, pp.135-143, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00703969

B. Pietropaoli, M. Dominici, and F. Weis, Belief Inference with Timed Evidence, Belief Functions: Theory and Applications of Advances in Intelligent and Soft Computing, pp.409-416, 2012.
DOI : 10.1007/978-3-642-29461-7_48
URL : https://hal.archives-ouvertes.fr/hal-00787003

G. Shafer, P. P. Shenoy, and K. Mellouli, Propagating belief functions in qualitative Markov trees, International Journal of Approximate Reasoning, vol.1, issue.4, pp.349-400, 1987.
DOI : 10.1016/0888-613X(87)90024-7

G. Shafer, A Mathematical Theory of Evidence, 1976.