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Imprecise Modelling Using Gradual Rules and Its Application to the Classification of Time Series.

, , and . IFSA, volume 2715 of Lecture Notes in Computer Science, page 319-327. Springer, (2003)

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On joint parameterizations of linear and nonlinear functionals in neural networks., , , and . Neural Networks, (March 2023)Structure identification and parameter optimization for non-linear fuzzy modeling., , and . Fuzzy Sets Syst., 132 (2): 173-188 (2002)Size reduction in fuzzy rulebases., and . SMC, page 2107-2112. IEEE, (1998)Statistical and fuzzy models of ambulatory systolic blood pressure for hypertension diagnosis., , , and . IEEE Trans. Instrumentation and Measurement, 49 (5): 998-1003 (2000)Imprecise Modelling Using Gradual Rules and Its Application to the Classification of Time Series., , and . IFSA, volume 2715 of Lecture Notes in Computer Science, page 319-327. Springer, (2003)Fuzzy control for fuzzy interval systems part I: solving first order fuzzy equations., , and . FUZZ-IEEE, page 1631-1636. IEEE, (2004)Fuzzy control for fuzzy interval systems part II: application to inverse model based control., , and . FUZZ-IEEE, page 1311-1316. IEEE, (2004)Fuzzy adaptive control for nonlinear systems. Real-time implementation for a robot wrist., , and . CDC, page 4364-4369. IEEE, (2001)Model Inversion using Extended Gradual Intervals Arithmetic., , and . EUSFLAT Conf., page 757-762. Atlantis Press, (2011)Categorizing classes of signals by means of fuzzy gradual rules., , and . IJCAI, page 1039-1044. Morgan Kaufmann, (2003)