D. Berleant and J. Zhang, Using Pearson Correlation to Improve Envelopes around the Distributions of Functions, Reliable Computing, vol.10, issue.2, pp.139-161, 2004.
DOI : 10.1023/B:REOM.0000015850.27690.3b

I. Couso, S. Moral, and P. Walley, A survey of concepts of independence for imprecise probabilities, Risk Decision and Policy, vol.5, issue.2, pp.165-181, 2000.
DOI : 10.1017/S1357530900000156

A. Dempster, Upper and Lower Probabilities Induced by a Multivalued Mapping, The Annals of Mathematical Statistics, vol.38, issue.2, pp.325-339, 1967.
DOI : 10.1214/aoms/1177698950

S. Destercke and D. Dubois, A unified view of some representations of imprecise probabilities. Int, Conf. on Soft Methods in Probability and Statistics (SMPS), Advances in Soft Computing, pp.249-257, 2006.
URL : https://hal.archives-ouvertes.fr/irsn-00196446

S. Ferson, L. Ginzburg, V. Kreinovich, D. Myers, and K. Sentz, Constructing probability boxes and dempster-shafer structures, pp.2002-4015, 2003.
DOI : 10.2172/809606

T. Fetz and M. Oberguggenberger, Propagation of uncertainty through multivariate functions in the framework of sets of probability measures, Reliability Engineering & System Safety, vol.85, issue.1-3, pp.73-87, 2004.
DOI : 10.1016/j.ress.2004.03.004

E. Kriegler and H. Held, Utilizing belief functions for the estimation of future climate change, International Journal of Approximate Reasoning, vol.39, issue.2-3, pp.185-209, 2005.
DOI : 10.1016/j.ijar.2004.10.005

H. Regan, S. Ferson, and D. Berleant, Equivalence of methods for uncertainty propagation of real-valued random variables, International Journal of Approximate Reasoning, vol.36, issue.1, pp.1-30, 2004.
DOI : 10.1016/j.ijar.2003.07.013

P. Smets, Belief functions on real numbers. I. J. of Approximate Reasoning, pp.181-223, 2005.

]. L. Utkin, Risk analysis under partial prior information and non-monotone utility functions. I. J. of Information Technology and Decision Making

P. Walley, Statistical reasoning with imprecise Probabilities, 1991.
DOI : 10.1007/978-1-4899-3472-7

P. Walley, Measures of uncertainty in expert systems, Artificial Intelligence, vol.83, issue.1, pp.1-58, 1996.
DOI : 10.1016/0004-3702(95)00009-7

R. Williamson and T. Downs, Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds, International Journal of Approximate Reasoning, vol.4, issue.2, pp.8-158, 1990.
DOI : 10.1016/0888-613X(90)90022-T