Z. Pawlak, Rough sets, International Journal of Computer & Information Sciences, vol.8, issue.3, pp.341-356, 1982.
DOI : 10.1007/BF01001956

Y. Y. Guan, H. K. Wang, Y. Wang, Y. , and F. , Attribute reduction and optimal decision rules acquisition for continuous valued information systems, Information Sciences, vol.179, issue.17, pp.2974-2984, 2009.
DOI : 10.1016/j.ins.2009.04.017

Z. Q. Meng, L. Jiang, C. , and H. Y. , A Heuristic Approach to Acquisition of Minimum Decision Rule Sets in Decision Systems, IFIP 8th International Conference on Intelligent Information Processing (IIP2014), 2014.
DOI : 10.1007/978-3-662-44980-6_21

URL : https://hal.archives-ouvertes.fr/hal-01383332

T. P. Hong, L. H. Tseng, W. , and S. L. , Learning rules from incomplete training examples by rough sets, Expert Systems with Applications, vol.22, issue.4, pp.285-293, 2002.
DOI : 10.1016/S0957-4174(02)00016-7

Y. Leung, W. Z. Wu, and W. X. Zhang, Knowledge acquisition in incomplete information systems: A rough set approach, European Journal of Operational Research, vol.168, issue.1, pp.164-180, 2006.
DOI : 10.1016/j.ejor.2004.03.032

J. H. Li, C. L. Mei, and Y. J. Lv, Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction, International Journal of Approximate Reasoning, vol.54, issue.1, pp.149-165, 2013.
DOI : 10.1016/j.ijar.2012.07.005

J. W. Grzymala-busse, P. G. Clark, and M. Kuehnhausen, Generalized probabilistic approximations of incomplete data, International Journal of Approximate Reasoning, vol.55, issue.1, pp.180-196, 2014.
DOI : 10.1016/j.ijar.2013.04.007

G. C. Patrick and J. W. Grzymala-busse, Mining Incomplete Data with Attribute- Concept Values and " Do Not Care " Conditions, IEEE International Conference on Big Data, 2015.