J. C. Bezdek, M. J. Sabin, and W. T. Tucker, Convergence theory for fuzzy c-means: Counterexamples and repairs, IEEE Transactions on Systems, Man, and Cybernetics, vol.17, issue.5, pp.17-873, 1987.
DOI : 10.1109/TSMC.1987.6499296

E. Binaghi, I. Gallo, and P. Madella, A neural model for fuzzy Dempster???Shafer classifiers, International Journal of Approximate Reasoning, vol.25, issue.2, pp.89-121, 2000.
DOI : 10.1016/S0888-613X(00)00050-5
URL : https://doi.org/10.1016/s0888-613x(00)00050-5

I. J. Chiang and . Hsu, Integration of fuzzy classifiers with decision trees, Proc, 1996.

Y. Hayashi and A. Imura, Fuzzy neural expert system with automated extraction of fuzzy if-then rules from a trained neural network, 1 st Internat. Symp. On Uncertainty Modeling and Analysis, pp.489-494, 1990.

A. Hayashi, T. Maeda, A. Bastian, and L. C. Jain, Generation of fuzzy decision trees by fuzzy ID3 with adjusting mechanism of AND/OR operators, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), pp.681-685, 1998.
DOI : 10.1109/FUZZY.1998.687570

H. Ichihashi, T. Shirai, K. Nagasaka, and T. Miyoshi, Nero-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning, Fuzzy Sets and Systems, pp.157-167, 1996.

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://www.cs.umsl.edu/~janikow/fid/fid34/papers/fid.ieeesmc.pdf

C. T. Lin and C. S. Lee, Neural-network-based fuzzy logic control and decision system, IEEE Transactions on Computers, vol.40, issue.12, pp.1320-1336, 1991.
DOI : 10.1109/12.106218

W. Pedrycz and Z. A. Sosnowski, C???Fuzzy Decision Trees, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.35, issue.4, pp.498-511, 2005.
DOI : 10.1109/TSMCC.2004.843205

J. R. Quinlann, Induction of decision trees, Machine Learning, vol.1, issue.1, pp.81-106, 1986.
DOI : 10.1037/13135-000

Z. A. Sosnowski and J. S. Walijewski, Generating Fuzzy Decision Rules with the Use of Dempster-Shafer Theory, pp.419-426, 1999.

M. Umano, H. Okamoto, I. Hatono, H. Tamura, F. Kawachi et al., Generation of fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis by gas in oil, Proc. 1994 Japan-USA Symposium on Flexible Automation, pp.1445-1448, 1994.

. J. Zs, K. B. Viharos, and . Kis, Survey on Neuro Fuzzy Systems and their Applications in Technical Diagnostics, Measurement, issue.67, pp.126-136, 2015.

R. Weber, Fuzzy ID3: A class of methods for automatic knowledge acquisition, Proc. 2 nd Int. Conf on Fuzzy Logic and Neural Networks, pp.265-268, 1992.

R. Yager and D. Filev, Essentials of Fuzzy Modeling Control, 1994.

R. Yager and D. Filev, Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory, IEEE Transactions on Systems, Man, and Cybernetics, vol.25, issue.8, pp.1221-1230, 1994.
DOI : 10.1109/21.398683

J. Yun, J. Seo, and T. Yoon, The new approach on fuzzy decision trees, International Journal of Fuzzy Logic Systems, vol.4, issue.3, 2014.