, Clustering approach using belief function theory, AIMSA, pp.162-171, 2006.
, Belief function independence: I. The marginal case, International Journal of Approximate Reasoning, vol.29, issue.1, pp.47-70, 2002.
DOI : 10.1016/S0888-613X(01)00055-X
, Belief function independence: II. The conditional case, International Journal of Approximate Reasoning, vol.31, issue.1-2, pp.31-75, 2002.
DOI : 10.1016/S0888-613X(02)00072-5
, Conflict management with dependent information sources in the belief function framework, 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI), 2013.
DOI : 10.1109/CINTI.2013.6705228
, About Sources Dependence in the Theory of Belief Functions, Belief Functions, pp.239-246, 2012.
DOI : 10.1007/978-3-642-29461-7_28
, Positive and Negative Dependence for Evidential Database Enrichment, IPMU (3), pp.575-584, 2012.
DOI : 10.1007/978-3-642-31718-7_59
, 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
, The cautious rule of combination for belief functions and some extensions, 2006 9th International Conference on Information Fusion, 2006.
DOI : 10.1109/ICIF.2006.301572
, Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence, Artificial Intelligence, vol.172, issue.2-3, pp.234-264, 2008.
DOI : 10.1016/j.artint.2007.05.008
, 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
, Pooling dependent expert opinions using the theory of evidence, Seventh Information Processing and Management of Uncertainty in Knowledge- Based System (IPMU'98), Volume I, pp.32-39, 1998.
, Characterizing belief with minimum commitment, IJCAI, pp.1184-1189, 1991.
, 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
, Le conflit dans la théorie des fonctions de croyance, Actes Extraction et gestion des connaissances (EGC'2010), pp.655-666, 2010.
, Une nouvelle règle de combinaison répartissant le conflit applications en imagerie sonar et classification de cibles radar, Traitement du Signal, vol.24, issue.2, pp.71-82, 2007.
, Fusion d'informations pour la reconnaissance automatique d'adresses postales dans le cadre de la théorie des fonctions de croyance, 2006.
, Combining belief functions when evidence conflicts, Decision Support Systems, vol.29, issue.1, pp.1-9, 2000.
DOI : 10.1016/S0167-9236(99)00084-6
, A mathematical theory of evidence, 1976.
, 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.
DOI : 10.1109/34.55104
, Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem, International Journal of Approximate Reasoning, vol.9, issue.1, pp.1-35, 1993.
DOI : 10.1016/0888-613X(93)90005-X
, Decision making in the TBM: the necessity of the pignistic transformation, International Journal of Approximate Reasoning, vol.38, issue.2, pp.133-147, 2005.
DOI : 10.1016/j.ijar.2004.05.003
, The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-234, 1994.
DOI : 10.1016/0004-3702(94)90026-4
URL : https://hal.archives-ouvertes.fr/hal-01185821
, The Transferable Belief Model for Belief Representation, pp.343-368, 1997.
DOI : 10.1007/978-1-4615-6245-0_12
, 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