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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)

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Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion., и . HIS, стр. 59. IEEE Computer Society, (2006)Fuzzy Style K-Plane Clustering., , , и . IEEE Trans. Fuzzy Syst., 29 (6): 1518-1532 (2021)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)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)An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems., , , и . Swarm Evol. Comput., (2022)Fuzzy Classifiers with a Two-Stage Reject Option., , , , , и . FUZZ, стр. 1-6. IEEE, (2023)Toward quantitative definition of explanation ability of fuzzy rule-based classifiers., и . FUZZ-IEEE, стр. 549-556. IEEE, (2011)Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers., , и . FUZZ-IEEE, стр. 1-8. IEEE, (2010)Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations., , , и . SMC, стр. 1758-1763. IEEE, (2009)Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D., , и . PPSN, том 9921 из Lecture Notes in Computer Science, стр. 503-513. Springer, (2016)