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Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems.

, , and . GEFS, page 89-94. IEEE, (2008)

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Hybridizing Hierarchical and Weighted Linguistic Rules., , , , and . SAC, page 812-816. ACM, (2002)Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems., , , , and . Int. J. Intell. Syst., 22 (9): 909-941 (2007)Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems., , and . Soft Comput., 13 (5): 451-465 (2009)Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems., and . Soft Comput., 17 (1): 165-194 (2013)Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models., , and . EUSFLAT Conf., page 272-278. Universidad Polytecnica de Catalunya, (2005)Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning., , , and . Integr. Comput. Aided Eng., 10 (4): 343-355 (2003)Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off., , , , and . Int. J. Approx. Reason., 44 (1): 1-3 (2007)Adaptive fuzzy partitions for evolving association rules in big data stream., and . Int. J. Approx. Reason., (2018)Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems., , , and . J. Intell. Fuzzy Syst., 11 (3-4): 99-119 (2001)Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning., , and . IEEE Trans. Evol. Comput., 13 (2): 260-283 (2009)