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A study of the use of multi-objective evolutionary algorithms to learn Boolean queries: A comparative study.

, , and . J. Assoc. Inf. Sci. Technol., 60 (6): 1192-1207 (2009)

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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)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 genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets., , and . FUZZ-IEEE, page 1689-1694. IEEE, (2009)Connecting the numerical scale model to the unbalanced linguistic term sets., , and . FUZZ-IEEE, page 455-462. IEEE, (2014)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)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)Computing with Words: Revisiting the Qualitative Scale., , , , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-2): 127-143 (2018)Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository., , , , and . CoRR, (2018)