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Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization., , , , и . IEEE Trans. Evol. Comput., 24 (3): 551-565 (2020)A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data., , , и . IEEE Trans. Fuzzy Syst., 28 (2): 361-375 (2020)Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection., и . Multi-Objective Machine Learning, том 16 из Studies in Computational Intelligence, Springer, (2006)Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions., , и . J. Multiple Valued Log. Soft Comput., 17 (2-3): 101-134 (2011)Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion., и . HIS, стр. 59. IEEE Computer Society, (2006)AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning., , , , и . CoRR, (2021)Fuzzy Style K-Plane Clustering., , , и . IEEE Trans. Fuzzy Syst., 29 (6): 1518-1532 (2021)An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems., , , и . Swarm Evol. Comput., (2022)Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization., , , и . MIC, том 13838 из Lecture Notes in Computer Science, стр. 172-186. Springer, (2022)Designing fuzzy rule-based classifiers that can visually explain their classification results to human users., , и . GEFS, стр. 5-10. IEEE, (2008)