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

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.

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.

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

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.

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

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

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

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.

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

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.

H. Ichihashi, T. Shirai, K. Nagasaka, and T. Miyoshi.
Neuro-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, 81:157-167, 1996.

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.

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

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.

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