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A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(7), 2305 - 2319.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:10.7/9.7 | Submit date:2023/01/30
Entropic And Rule-stability-based Regularizer  First-order Takagi-sugeno-kang (Tsk) Fuzzy System  Fuzzy Rules  Gaussian Mixture Model (Gmm)  Generalization Performance  Interpretability