X. Boyen and L. Wehenkel, Automatic induction of fuzzy decision tree and its application to power system security assessmen. Fuzzy Sets and Systems, pp.3-19, 1999.

L. Breiman, J. Friedman, R. Olshen, and C. Stone, Classification And Regression Trees, 1984.

K. Cios and L. Sztandera, Continuous ID3 algorithm with fuzzy entropy measures, [1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1992.
DOI : 10.1109/FUZZY.1992.258659

J. A. Gama, I. Zliobait?-e, A. Bifet, M. Pechenizkiy, and A. Bouchachia, A survey on concept drift adaptation, ACM Computing Surveys, vol.46, issue.4, pp.1-4437, 2014.
DOI : 10.1145/2523813

G. Hulten, L. Spencer, and P. Domingos, Mining time-changing data streams, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '01, pp.97-106, 2001.
DOI : 10.1145/502512.502529

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. Z. Janikow, Fuzzy decision trees: issues and methods, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.28, issue.1, pp.1-14, 1998.
DOI : 10.1109/3477.658573

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. Marsala, Apprentissage inductif en présence de données imprécises : construction et utilisation d'arbres de décision flous, Thèse de doctorat, 1998.

C. Marsala, Fuzzy Partitioning Methods, Granular Computing : an Emerging Paradigm, pp.163-186, 2001.
DOI : 10.1007/978-3-7908-1823-9_8

C. Marsala, Incremental tuning of fuzzy decision trees, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, pp.2061-2064, 2012.
DOI : 10.1109/SCIS-ISIS.2012.6505342

URL : https://hal.archives-ouvertes.fr/hal-01282319

C. Marsala, Fuzzy decision trees for dynamic data, 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), pp.17-24, 2013.
DOI : 10.1109/EAIS.2013.6604100

URL : https://hal.archives-ouvertes.fr/hal-01216007

C. Marsala and B. Bouchon-meunier, An adaptable system to construct fuzzy decision trees, 18th International Conference of the North American Fuzzy Information Processing Society, NAFIPS (Cat. No.99TH8397), pp.223-227, 1999.
DOI : 10.1109/NAFIPS.1999.781687

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. Olaru and L. Wehenkel, A complete fuzzy decision tree technique. Fuzzy sets and systems, pp.221-254, 2003.
DOI : 10.1016/s0165-0114(03)00089-7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

J. R. Quinlan, Induction of decision trees, Machine Learning, vol.1, issue.1, pp.81-106, 1986.
DOI : 10.1007/BF00116251

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

J. R. Quinlan, Induction of decision trees, Machine Learning, pp.86-106, 1986.
DOI : 10.1007/BF00116251

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Ramdani, Une approche floue pour traiter les valeurs numériques en apprentissage, Journ. Franc. d'apprentissage et d'explication des connaissances, 1992.

P. E. Utgoff, ID5: An Incremental ID3, Machine Learning Proceedings, p.107, 1988.
DOI : 10.1016/B978-0-934613-64-4.50017-7

X. Wang, B. Chen, G. Qian, and F. Ye, On the optimization of fuzzy decision trees. Fuzzy Sets and Systems, pp.117-125, 2000.

R. Weber, Fuzzy-ID3 : A class of methods for automatic knowledge acquisition, IIZUKA'92 Proc. of the 2nd Int. Conf. on Fuzzy Logic, pp.265-268, 1992.

H. Yang and S. Fong, Incremental Optimization Mechanism for Constructing a Decision Tree in Data Stream Mining, Mathematical Problems in Engineering, vol.6, issue.1, 2013.
DOI : 10.1007/978-3-642-01307-2_107

Y. Yuan and M. Shaw, Induction of fuzzy decision trees. Fuzzy Sets and systems, pp.125-139, 1995.

L. Zadeh, Probability measures of Fuzzy events, Journal of Mathematical Analysis and Applications, vol.23, issue.2, 1968.
DOI : 10.1016/0022-247X(68)90078-4