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FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis., , and . FUZZ-IEEE, page 1-8. IEEE, (2015)Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition., , and . FUZZ-IEEE, page 1445-1452. IEEE, (2016)Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm., and . FUZZ-IEEE, page 1037-1042. IEEE, (2004)Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule., and . IFSA/NAFIPS, page 292-297. IEEE, (2013)Interval type-2 fuzzy classifier design using Genetic Algorithms., and . FUZZ-IEEE, page 1-7. IEEE, (2010)Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules., , , , and . ISDA, page 166-171. IEEE, (2012)A reactive programming procedure for flexible manufacturing system., , , and . SMC, page 2156-2161. IEEE, (2000)A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System., and . EUSFLAT/IWIFSGN (1), volume 641 of Advances in Intelligent Systems and Computing, page 389-399. Springer, (2017)Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting., , , and . FUZZ-IEEE, page 1-8. IEEE, (2018)Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function., , , and . WILF, volume 3074 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)