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Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function

Research article (IEEE Access, 2020) · cited 14× · AI/ML
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Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function

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Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-t-s-fuzzy-model-identification-approach-based-on-fcrm-algorithm-and-l1-norm-loss-function
MLA “Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-t-s-fuzzy-model-identification-approach-based-on-fcrm-algorithm-and-l1-norm-loss-function.
BibTeX @misc{4ortxyz_robust-t-s-fuzzy-model-identification-approach-based-on-fcrm-algorithm-and-l1-norm-loss-function_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function}}, year = {2026}, url = {https://4ort.xyz/entity/robust-t-s-fuzzy-model-identification-approach-based-on-fcrm-algorithm-and-l1-norm-loss-function}, note = {Accessed: 2026-05-24}}
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