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Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem

, , and . CoRR, (2008)

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A Practical Inference Method with Several Implicative Gradual Rules and a Fuzzy Input: One and Two Dimensions., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Learning interpretable fuzzy inference systems with FisPro., and . Inf. Sci., 181 (20): 4409-4427 (2011)A fast and flexible instance selection algorithm adapted to non-trivial database sizes., , , and . Intell. Data Anal., 19 (3): 631-658 (2015)DIDES: a fast and effective sampling for clustering algorithm., and . Knowl. Inf. Syst., 50 (2): 543-568 (2017)Munec: a mutual neighbor-based clustering algorithm., and . Inf. Sci., (2019)Interpretable fuzzy inference systems for cooperation of expert knowledge and data in agricultural applications using FisPro., and . FUZZ-IEEE, page 1-8. IEEE, (2010)Parameter optimization of a fuzzy inference system using the FisPro open source software., and . FUZZ-IEEE, page 1-8. IEEE, (2012)A Distance Metric Suitable for Fuzzy Partitioning., , and . FUZZ-IEEE, page 264-267. IEEE, (2001)HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism., , and . Int. J. Intell. Syst., 23 (7): 761-794 (2008)Integrating induced knowledge in an expert fuzzy-based system for intelligent motion analysis on ground robots., , , , , and . EUSFLAT Conf., page 1051-1056. Universidad Polytecnica de Catalunya, (2005)