P. N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining, 2005.

E. C. Tsang, D. S. Yeung, W. , and X. Z. , OFFSS: optimal fuzzy-valued feature subset selection, IEEE Transactions on Fuzzy Systems, vol.11, issue.2, pp.202-213, 2003.
DOI : 10.1109/TFUZZ.2003.809895

R. Caruana and D. Freitag, Greedy Attribute Selection, Proceedings of international conference on machine learning, pp.28-33, 1994.
DOI : 10.1016/B978-1-55860-335-6.50012-X
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.3576

P. W. Baim, A method for attribute selection in inductive learning systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.6, pp.888-896, 1988.
DOI : 10.1109/34.9110

R. K. De, J. Basak, and S. K. Pal, Neuro-fuzzy feature evaluation with theoretical analysis, Neural Networks, vol.12, issue.10, pp.1429-1455, 1999.
DOI : 10.1016/S0893-6080(99)00079-9

R. Battiti, Using mutual information for selecting features in supervised neural net learning, IEEE Transactions on Neural Networks, vol.5, issue.4, pp.537-550, 1994.
DOI : 10.1109/72.298224
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.7629

M. Dong and R. Kothari, Feature subset selection using a new definition of classifiability, Pattern Recognition Letters, vol.24, issue.9-10, pp.1215-1225, 2003.
DOI : 10.1016/S0167-8655(02)00303-3

R. K. De, N. R. Pal, and S. K. Pal, Feature analysis: Neural network and fuzzy set theoretic approaches, Pattern Recognition, vol.30, issue.10, pp.1579-1590, 1997.
DOI : 10.1016/S0031-3203(96)00190-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.3856

J. C. Platt, Using analytic QP and sparseness to speed training of support vector ma-chines

J. D. Shie and S. M. Chen, Feature subset selection based on fuzzy entropy measures for handling classification problems, Applied Intelligence, vol.8, issue.3, 2007.
DOI : 10.1002/j.1538-7305.1948.tb01338.x