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Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering.

, , , , , и . IEEE Trans. Cybern., 52 (7): 6406-6419 (2022)

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Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Ruguo Hu

 

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Fuzzy rule-based models with randomized development mechanisms., , и . Fuzzy Sets Syst., (2019)Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space., , и . Appl. Soft Comput., (2016)Online Semi-Supervised Learning With Multiple Regularization Terms., , , и . IEEE Access, (2019)Random ensemble of fuzzy rule-based models., , и . Knowl. Based Syst., (2019)Multi-granulation-based optimal scale selection in multi-scale information systems., , , , и . Comput. Electr. Eng., (2021)Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework., , , , и . Appl. Soft Comput., (февраля 2023)Comparative analysis of logic operators: A perspective of statistical testing and granular computing., , и . Int. J. Approx. Reason., (2015)Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering., , , , , и . IEEE Trans. Cybern., 52 (7): 6406-6419 (2022)Adaptive wideband sensing scheme based on Bayesian experimental design., , , и . Evol. Intell., 17 (1): 239-247 (2024)An Efficient Federated Multiview Fuzzy C-Means Clustering Method., , , , , и . IEEE Trans. Fuzzy Syst., 32 (4): 1886-1899 (апреля 2024)