P. Bartlett and M. Wegkamp, Classification with a reject option using a hinge loss, The Journal of Machine Learning Research, vol.9, pp.1823-1840, 2008.

W. Cheng, E. Hüllermeier, W. Waegeman, and V. Welker, Label ranking with partial abstention based on thresholded probabilistic models, Advances in Neural Information Processing Systems 25 (NIPS-12), pp.2510-2518, 2012.

W. Cheng, M. Rademaker, B. De-baets, and E. Hüllermeier, Predicting Partial Orders: Ranking with Abstention, Machine Learning and Knowledge Discovery in Databases, pp.215-230, 2010.
DOI : 10.1007/978-3-642-15880-3_20

G. Corani, A. Antonucci, and M. Zaffalon, Bayesian networks with imprecise probabilities: Theory and application to classification. Data Mining: Foundations and Intelligent Paradigms, pp.49-93, 2012.

K. Dembczynski, W. Waegeman, W. Cheng, and E. Hüllermeier, On label dependence and loss minimization in multi-label classification, Machine Learning, pp.5-45, 2012.
DOI : 10.1007/s10994-012-5285-8

S. Destercke, A K-nearest neighbours method based on imprecise probabilities, Soft Computing, vol.28, issue.5, pp.833-844, 2012.
DOI : 10.1007/s00500-011-0773-5

URL : https://hal.archives-ouvertes.fr/hal-00692149

J. Fürnkranz, E. Hüllermeier, E. Loza-mencía, and K. Brinker, Multilabel classification via calibrated label ranking, Machine Learning, pp.133-153, 2008.
DOI : 10.1007/s10994-008-5064-8

I. Levi, The Enterprise of Knowledge, 1980.

Y. Sun, Y. Zhang, and Z. Zhou, Multi-label learning with weak label, Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010.

F. Tian and X. Shen, Image Annotation with Weak Labels, Web-Age Information Management, pp.375-380, 2013.
DOI : 10.1007/978-3-642-38562-9_38

M. Troffaes, Decision making under uncertainty using imprecise probabilities, International Journal of Approximate Reasoning, vol.45, issue.1, pp.17-29, 2007.
DOI : 10.1016/j.ijar.2006.06.001

URL : http://doi.org/10.1016/j.ijar.2006.06.001

K. Trohidis, G. Tsoumakas, G. Kalliris, and I. P. Vlahavas, Multi-label classification of music by emotion, ISMIR, pp.325-330, 2008.
DOI : 10.1007/s10994-008-5077-3

G. Tsoumakas and I. Katakis, Multi-Label Classification, International Journal of Data Warehousing and Mining, vol.3, issue.3, pp.1-13, 2007.
DOI : 10.4018/jdwm.2007070101

G. Yu, C. Domeniconi, H. Rangwala, and G. Zhang, Protein Function Prediction Using Dependence Maximization, Machine Learning and Knowledge Discovery in Databases, pp.574-589, 2013.
DOI : 10.1007/978-3-642-40988-2_37

M. Zaffalon, Exact credal treatment of missing data, Journal of Statistical Planning and Inference, vol.105, issue.1, pp.105-122, 2002.
DOI : 10.1016/S0378-3758(01)00206-3

M. Zaffalon and E. Miranda, Conservative inference rule for uncertain reasoning under incompleteness, Journal of Artificial Intelligence Research, vol.34, issue.2, p.757, 2009.