A Novel L-Fuzzy Concept Learning via Two-Way Concept-Cognitive Learning and Residuated Implication
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40815-024-01729-9.pdf
Reference45 articles.
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2. Guo, D.D., Xu, W.H., et al.: Fuzzy-granular concept-cognitive learning via three-way decision: performance evaluation on dynamic knowledge discovery. IEEE Trans. Fuzzy Syst. (2023). https://doi.org/10.1109/TFUZZ.2023.3325952
3. Li, W.T., Wei, Y.L., et al.: General expression of knowledge granularity based on a fuzzy relation matrix. Fuzzy Sets Syst. 440, 149–163 (2022)
4. Guo, D.D., Xu, W.H., et al.: M-FCCL: memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion. Inf. Fusion 100, 101962 (2023)
5. Li, W.T., Zhou, H.X., et al.: Interval dominance-based feature selection for interval-valued ordered data. IEEE Trans. Neural Netw. Learn. Syst. 34(10), 6898–6912 (2022)
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