A. Appriou, Approche générique de la gestion de l'incertain dans les processus de fusion multisenseur, Traitement du Signal, vol.22, issue.4, pp.307-319, 2005.

A. P. Dempster, Upper and Lower probabilities induced by a multivalued mapping, Annals of Mathematical Statistics, vol.83, pp.325-339, 1967.

A. P. Dempster, A Generalization of Bayesian Inference, Journal of the Royal Statistical Society, Serie B, vol.30, pp.205-245, 1968.
DOI : 10.1007/978-3-540-44792-4_4

T. Denoeux, The cautious rule of combination for belief functions and some extensions, 2006 9th International Conference on Information Fusion, pp.10-13, 2006.
DOI : 10.1109/ICIF.2006.301572

D. Dubois and H. Prade, Representation and combination of uncertainty with belief functions and possibility measures, Computational Intelligence, vol.5, issue.1, pp.244-264, 1988.
DOI : 10.1016/0165-0114(78)90029-5

D. Dubois and H. Prade, Possibility Theory: An Approach to Computerized Processing of Uncertainty, 1988.

M. C. Florea, J. Dezert, P. Valin, F. Smarandache, and A. L. Jousselme, Adaptative combination rule and proportional conflict redistribution rule for information fusion, COGnitive systems with Interactive Sensors, 2006.

T. Inagaki, Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory, IEEE Transactions on Reliability, vol.40, issue.2, pp.182-188, 1991.
DOI : 10.1109/24.87125

A. Josang, M. Daniel, and P. Vannoorenberghe, Strategies for combining conflicting dogmatic beliefs, Sixth International Conference of Information Fusion, 2003. Proceedings of the, pp.7-10, 2003.
DOI : 10.1109/ICIF.2003.177365
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2803

A. Jousselme, D. Grenier, and E. Bossé, A new distance between two bodies of evidence, Information Fusion, vol.2, issue.2, pp.91-101, 2001.
DOI : 10.1016/S1566-2535(01)00026-4

L. Lam and C. Y. Suen, Application of majority voting to pattern recognition: an analysis of its behavior and performance, Man Cybernetics -Part A: Systems and Humans, pp.553-568, 1997.
DOI : 10.1109/3468.618255

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

X. Li, X. Huang, J. Dezert, and F. Smarandache, Enrichment of Qualitative Belief for Reasoning under Uncertainty, International Conference on Information Fusion, pp.9-12, 2007.

A. Martin and C. Osswald, A new generalization of the proportional conflict redistribution rule stable in terms of decision Applications and Advances of DSmT for Information Fusion, pp.69-88, 2006.

A. Martin and C. Osswald, Toward a combination rule to deal with partial conflict and specificity in belief functions theory, 2007 10th International Conference on Information Fusion, pp.9-12, 2007.
DOI : 10.1109/ICIF.2007.4408007
URL : https://hal.archives-ouvertes.fr/hal-00281897

C. Osswald and A. Martin, Understanding the large family of Dempster-Shafer theory's fusion operators ?? a decision-based measure, 2006 9th International Conference on Information Fusion, pp.10-13, 2006.
DOI : 10.1109/ICIF.2006.301631
URL : https://hal.archives-ouvertes.fr/hal-00518673

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

F. Smarandache and J. Dezert, Applications and Advances of DSmT for Information Fusion (Collected works), 2004.
URL : https://hal.archives-ouvertes.fr/hal-01080187

F. Smarandache and J. Dezert, Applications and Advances of DSmT for Information Fusion (Collected works), 2006.
URL : https://hal.archives-ouvertes.fr/hal-01080187

F. Smarandache and J. Dezert, Applications and Advances of DSmT for Information Fusion (Collected works), 2003.
URL : https://hal.archives-ouvertes.fr/hal-01080187

F. Smarandache and J. Dezert, Information fusion based on new proportional conflict redistribution rules, 2005 7th International Conference on Information Fusion, pp.25-29, 2005.
DOI : 10.1109/ICIF.2005.1591955

F. Smarandache and J. Dezert, Proportional Conflict Redistribution Rules for Information Fusion Applications and Advances of DSmT for Information Fusion, pp.3-68, 2006.

F. Smarandache, An In-depth Look at Quantitative Information Fusion Rules, Applications and Advances of DSmT for Information Fusion, pp.205-235, 2005.

F. Smarandache and J. Dezert, Qualitative belief conditioning rules (QBCR), 2007 10th International Conference on Information Fusion, pp.9-12, 2007.
DOI : 10.1109/ICIF.2007.4407995
URL : https://hal.archives-ouvertes.fr/hal-00164748

. Ph and . Smets, Constructing the pignistic probability function in a context of uncertainty, Uncertainty in Artificial Intelligence, vol.5, pp.29-39, 1990.

. Ph and . Smets, The Combination of Evidence in the Transferable Belief Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.447-458, 1990.

. Ph and . Smets, Belief functions: the Disjunctive Rule of Combination and the Generalized Bayesian Theorem, International Journal of Approximate Reasoning, vol.9, pp.1-35, 1993.

. Ph, R. Smets, and . Kennes, The Transferable Belief Model, Artificial Intelligent, vol.66, pp.191-234, 1994.

. Ph, D. Smets, R. Gabbay, A. Kruse, H. J. Nonnengart et al., The ?-junctions: the commutative and associative non interactive combination operators applicable to belief functions Qualitative and quantitative practical reasoning, pp.131-153, 1997.

K. Sentz and S. Ferson, Combination of evidence in Dempster-Shafer Theory, SANDIA Tech. Report, vol.96, pp.2002-0835, 2002.
DOI : 10.2172/800792

L. Xu, A. Krzyzak, and C. Y. Suen, Methods of combining multiple classifiers and their applications to handwriting recognition, IEEE Transactions on Systems, Man, and Cybernetics, vol.22, issue.3, pp.418-435, 1992.
DOI : 10.1109/21.155943

R. R. Yager, Hedging in the Combination of Evidence, Journal of Information and Optimization Sciences, vol.38, issue.1, pp.73-81, 1983.
DOI : 10.1080/02522667.1983.10698752

R. R. Yager, ON THE RELATIONSHIP OF METHODS OF AGGREGATING EVIDENCE IN EXPERT SYSTEMS, Cybernetics and Systems, vol.10, issue.1, pp.1-21, 1985.
DOI : 10.1080/01969728508927754

R. R. Yager, On the dempster-shafer framework and new combination rules, Information Sciences, vol.41, issue.2, pp.93-137, 1987.
DOI : 10.1016/0020-0255(87)90007-7

L. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, vol.1, issue.1, pp.3-28, 1978.
DOI : 10.1016/0165-0114(78)90029-5

L. Zadeh, On the validity of Dempster's rule of combination, 1979.