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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  
Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support Conference paper
Simon Fong, Luke Lu, Kun Lan, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed. Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support[C], 2013, 33-40.
Authors:  Simon Fong;  Luke Lu;  Kun Lan;  Osama Mohammed;  Jinan Fiaidhi; et al.
Favorite | TC[Scopus]:0 | Submit date：2019/02/13
Ensemble Data Mining  Clinical Decision Support  Rule-based System  Medical Informatics