M. Bauer, Approximation algorithms and decision making in the Dempster-Shafer theory of evidence ??? An empirical study, International Journal of Approximate Reasoning, vol.17, issue.2-3, pp.217-237, 1997.
DOI : 10.1016/S0888-613X(97)00013-3

P. Black, Geometric structure of lower probabilities, Random Sets: Theory and Applications, pp.361-383, 1997.

B. R. Cobb and P. P. Shenoy, On transforming belief function models to probability models, 2003.
DOI : 10.1007/978-3-540-45062-7_21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.7312

F. Cuzzolin, Geometric interplays of belief and probability, submitted to the, IEEE Transactions on Systems, Man, and Cybernetics -Part B, 2005.

F. Cuzzolin, Geometry of upper probabilities, Proceedings of ISIPTA'03, 2003.

F. Cuzzolin and R. Frezza, Geometric analysis of belief space and conditional subspaces, Proceedings of ISIPTA2001, pp.26-29, 2001.

V. Ha and P. Haddawy, Theoretical foundations for abstraction-based probabilistic planning, Proc. of the 12 th Conference on Uncertainty in Artificial Intelligence, pp.291-298, 1996.

I. Kramosil, Approximations of believeability functions under incomplete identification of sets of compatible states, Kybernetika, vol.31, pp.425-450, 1995.

J. D. Lowrance, T. D. Garvey, and T. M. Strat, A Framework for Evidential-Reasoning Systems, Proceedings of the National Conference on Artificial Intelligence, pp.896-903, 1986.
DOI : 10.1007/978-3-540-44792-4_16

G. Shafer, A mathematical theory of evidence, 1976.

P. Smets, Belief functions versus probability functions, Uncertainty and Intelligent Systems, pp.17-24, 1988.
DOI : 10.1007/3-540-19402-9_51

B. Tessem, Approximations for efficient computation in the theory of evidence, Artificial Intelligence, vol.61, issue.2, pp.315-329, 1993.
DOI : 10.1016/0004-3702(93)90072-J

F. Voorbraak, A computationally efficient approximation of Dempster-Shafer theory, International Journal of Man-Machine Studies, vol.30, issue.5, pp.525-536, 1989.
DOI : 10.1016/S0020-7373(89)80032-X