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A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.

, , , , и . ICPRAM (1), стр. 211-216. SciTePress, (2012)

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Rodrigo Herrera

Javier Mauricio Herrera Herrera

Lidcay Herrera

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Hugo Herrera

 

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Distributed Genetic Tuning of Fuzzy Rule-Based Systems., , , и . IFSA/EUSFLAT Conf., стр. 1740-1744. (2009)Influence of fuzzy partition granularity on fuzzy rule-based system behaviour., , и . EUSFLAT-ESTYLF Joint Conf., стр. 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., , и . EUSFLAT Conf., стр. 118-121. De Montfort University, Leicester, UK, (2001)Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm., , и . IEA/AIE (2), том 6097 из Lecture Notes in Computer Science, стр. 228-238. Springer, (2010)Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems., , , , и . IEA/AIE, том 4031 из Lecture Notes in Computer Science, стр. 452-461. Springer, (2006)Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization., , и . IEEE Congress on Evolutionary Computation, стр. 1945-1951. IEEE, (2013)A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets., , и . FUZZ-IEEE, стр. 1689-1694. IEEE, (2009)Connecting the numerical scale model to the unbalanced linguistic term sets., , и . FUZZ-IEEE, стр. 455-462. IEEE, (2014)A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification., , , и . LOPAL, стр. 3:1-3:6. ACM, (2018)A fuzzy associative classification system with genetic rule selection for high-dimensional problems., , и . GEFS, стр. 33-38. IEEE, (2010)