Bibliographie

1
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone.
Classification and Regression Trees.
Wadsworth International Group, Belmont CA, 1984.

2
S. Chen, S. A. Billings, and W. Luo.
Orthogonal least squares methods and their application to non-linear system identification.
Int. J. Control, 50:1873-1896, 1989.

3
S. Chen, C. F. N. Cowan, and P. M. Grant.
Orthogonal least squares learning algorithm for radial basis function networks.
IEEE Transactions on Neural Networks, 2 (No 2):302-309, March 1991.

4
J. Valente de Oliveira.
Semantic constraints for membership functions optimization.
IEEE Transactions on Systems, Man and Cybernetics, 29:128-138, 1999.

5
Sébastien Destercke, Serge Guillaume, and Brigitte Charnomordic.
Building an interpretable fuzzy rule base from data using orthogonal least squares- application to a depollution problem.
Fuzzy Sets and Systems, 158:2078-2094, 2007.

6
Pierre-Yves Glorennec.
Quelques aspects analytiques des systèmes d'inférence floue.
Journal Européen des Systèmes automatisés, 30 (2-3):231-254, 1996.

7
Pierre-Yves Glorennec.
Algorithmes d'apprentissage pour systèmes d'inférence floue.
Editions Hermès, Paris, 1999.

8
Serge Guillaume.
Designing fuzzy inference systems from data: an interpretability-oriented review.
IEEE Transactions on Fuzzy Systems, 9 (3):426-443, June 2001.

9
Serge Guillaume and Brigitte Charnomordic.
A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from data, volume 128 of Studies in Fuzziness and Soft Computing, pages 148-175.
Springer, 2003.

10
Serge Guillaume and Brigitte Charnomordic.
Generating an interpretable family of fuzzy partitions.
IEEE Transactions on Fuzzy Systems, 12 (3):324-335, June 2004.

11
J. Hohensohn and J. M. Mendel.
Two pass orthogonal least-squares algorithm to train and reduce fuzzy logic systems.
In Proc. IEE Conf. Fuzzy Syst., pages 696-700, Orlando, Florida, June 1994.

12
Hazael Jones, Brigitte Charnomordic, Didier Dubois, and Serge Guillaume.
Practical inference with systems of gradual implicative rules.
IEEE Transactions on Fuzzy Systems, 17 (1):61-78, 2009.

13
J. R. Quinlan.
Induction of decision trees.
Machine Learning, 1:81-106, August 1986.

14
Li-Xin Wang and Jerry M. Mendel.
Generating fuzzy rules by learning from examples.
IEEE Transactions on Systems, Man and Cybernetics, 22 (6):1414-1427, November/December 1992.

15
R. Weber.
Fuzzy-id3: A class of methods for automatic knowledge acquisition.
In International conference on fuzzy logic and neural networks, pages 265-268, 1992.

16
L. A. Zadeh.
Is there a need for fuzzy logic?
Information Sciences, 178 (13):2751-2856, 2008.