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Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.

, , , , and . CoRR, (2020)

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Influence of fuzzy partition granularity on fuzzy rule-based system behaviour., , and . EUSFLAT-ESTYLF Joint Conf., page 159-162. Universitat de les Illes Balears, Palma de Mallorca, Spain, (1999)A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions., , and . EUSFLAT Conf., page 118-121. De Montfort University, Leicester, UK, (2001)A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets., , and . FUZZ-IEEE, page 1689-1694. IEEE, (2009)Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems., , , , and . IEA/AIE, volume 4031 of Lecture Notes in Computer Science, page 452-461. Springer, (2006)A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification., , , and . LOPAL, page 3:1-3:6. ACM, (2018)Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization., , and . IEEE Congress on Evolutionary Computation, page 1945-1951. IEEE, (2013)Connecting the numerical scale model to the unbalanced linguistic term sets., , and . FUZZ-IEEE, page 455-462. IEEE, (2014)A fuzzy associative classification system with genetic rule selection for high-dimensional problems., , and . GEFS, page 33-38. IEEE, (2010)A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP., , and . Eur. J. Oper. Res., 180 (1): 116-148 (2007)Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model., , , , and . Knowl. Based Syst., (2019)