M. Aznarte and J. L. , Modelling time series through fuzzy rule-based models: a statistical approach, 2008.

M. Aznarte, J. L. Benítez, and J. M. , Testing for linear independence of the residuals in the framework of fuzzy rule-based models, Ninth International Conference on Intelligent Systems Design and Applications (ISDA). Pisa (Italy), 2009.

M. Aznarte, J. L. Medeiros, M. Sánchez, and J. M. , Linearity testing against a fuzzy rule-based model. Fuzzy Sets and Systems

H. Barreto and F. Howland, Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel, 2005.
DOI : 10.1017/CBO9780511809231

H. Byun and K. Lee, A decision support system for the selection of a rapid prototyping process using teh modified topsis method. Intern, Journal of Advanced Manufacturing Technology, vol.26, pp.11-12, 2005.

R. John and P. Innocent, Modeling uncertainty in clinical diagnosis using fuzzy logic. Systems, Man, and Cybernetics, Part B IEEE Transactions on, vol.35, issue.6, pp.1340-1350, 2005.
DOI : 10.1109/tsmcb.2005.855588

I. Lee, B. Kosko, and W. F. Anderson, Modeling Gunshot Bruises in Soft Body Armor with an Adaptive Fuzzy System, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.35, issue.6, pp.1374-1390, 2005.
DOI : 10.1109/TSMCB.2005.855585

M. Medeiros and A. Veiga, Diagnostic Checking in a Flexible Nonlinear Time Series Model, Journal of Time Series Analysis, vol.89, issue.4, pp.461-482, 2003.
DOI : 10.1016/S0169-2070(97)00044-7

M. Medeiros and A. Veiga, A Flexible Coefficient Smooth Transition Time Series Model, IEEE Transactions on Neural Networks, vol.16, issue.1, pp.97-113, 2005.
DOI : 10.1109/TNN.2004.836246

M. Suarez-farinas, C. E. Pedreira, and M. C. Medeiros, Local Global Neural Networks, Journal of the American Statistical Association, vol.99, issue.468, pp.1092-1107, 2004.
DOI : 10.1198/016214504000001691

T. Teräsvirta, Specification, estimation and evaluation of smooth transition autoregresive models, J. Am. Stat. Assoc, vol.89, pp.208-218, 1994.

H. Tong, On a Threshold Model, Pattern Recognition and Signal Processing, 1978.
DOI : 10.1007/978-94-009-9941-1_24

C. F. Vieira, L. B. Palma, and R. N. Da-silva, Robust fault diagnosis approach using analytical and knowledge based techniques applied to a water tank system. International journal of engineering intelligent systems for electrical engineering and communications, pp.237-244, 2005.