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Introduction: Genetic fuzzy systems., and . Int. J. Intell. Syst., 13 (10-11): 887-890 (1998)Empowering difficult classes with a similarity-based aggregation in multi-class classification problems., , , and . Inf. Sci., (2014)An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level., , and . Inf. Sci., (2015)A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations., , and . Inf. Sci., (2016)A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems., , and . WILF, volume 6857 of Lecture Notes in Computer Science, page 99-106. Springer, (2011)Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling., , , , and . Soft Comput., 10 (9): 717-734 (2006)Deep Learning in Video Multi-Object Tracking: A Survey., , , , , and . CoRR, (2019)Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems., , , and . FUZZ-IEEE, page 1-7. IEEE, (2013)Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation., and . FUZZ-IEEE, page 233-238. IEEE, (2004)Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model., , , , and . Inf. Sci., (2019)