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
l p consonant approximations of belief functions. Fuzzy Systems, IEEE Transactions on, vol.22, issue.2, pp.420-436, 2014. ,
Geometry of Dempster's Rule of Combination, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.2, pp.961-977, 2004. ,
DOI : 10.1109/TSMCB.2003.818431
Geometric conditioning of belief functions, Proceedings of BELIEF 2010, International workshop on the theory of belief functions, pp.1-6, 2010. ,
On Consistent Approximations of Belief Functions in the Mass Space, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp.287-298, 2011. ,
DOI : 10.1007/s10472-005-9006-x
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
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
EVCLUS: Evidential Clustering of Proximity Data, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.1, pp.95-109, 2004. ,
DOI : 10.1109/TSMCB.2002.806496
Assessing Sensor Reliability for Multisensor Data Fusion Within the Transferable Belief Model, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.1, pp.782-787, 2004. ,
DOI : 10.1109/TSMCB.2003.817056
Distances in evidence theory: Comprehensive survey and generalizations, International Journal of Approximate Reasoning, vol.53, issue.2, pp.118-145, 2012. ,
DOI : 10.1016/j.ijar.2011.07.006
Automatic discounting rate computation using a dissent criterion, Proceedings of BELIEF 2010, International workshop on the theory of belief functions, pp.1-6, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00668110
New distances between bodies of evidence based on Dempsterian specialization matrices and their consistency with the conjunctive combination rule, International Journal of Approximate Reasoning, vol.55, issue.5, pp.1093-1112, 2014. ,
DOI : 10.1016/j.ijar.2014.02.007
URL : https://hal.archives-ouvertes.fr/hal-00964996
Refined modeling of sensor reliability in the belief function framework using contextual discounting, Information Fusion, vol.9, issue.2, pp.246-258, 2008. ,
DOI : 10.1016/j.inffus.2006.08.001
Belief function divergence as a classifier, Proceedings of the 1991 IEEE International Symposium on Intelligent Control, pp.280-285, 1991. ,
DOI : 10.1109/ISIC.1991.187371
Clustering decomposed belief functions using generalized weights of conflict, International Journal of Approximate Reasoning, vol.48, issue.2, pp.466-480, 2008. ,
DOI : 10.1016/j.ijar.2007.03.002
A mathematical theory of evidence, 1976. ,
The application of the matrix calculus to belief functions, International Journal of Approximate Reasoning, vol.31, issue.1-2, pp.1-30, 2002. ,
DOI : 10.1016/S0888-613X(02)00066-X
A belief function distance metric for orderable sets, Information Fusion, vol.14, issue.4, pp.361-373, 2013. ,
DOI : 10.1016/j.inffus.2013.03.003
An evidence-theoretic k-nn rule with parameter optimisation, IEEE Transactions on Systems, Man and Cybernetics. Part C: Application and reviews, vol.28, issue.2, pp.263-271, 1998. ,