Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation

Zhou, Ta1,2; Ishibuchi, Hisao3,4; Wang, Shitong5

2017-12

10.1109/TETCI.2017.2761915

IEEE Transactions on Emerging Topics in Computational Intelligence   影响因子和分区

2471-285X

Feature augmentation interpretability learning algorithm least learning machine stacked hierarchical structure TSK fuzzy classifier

EI

其他

20175104554018

Classification (of information) ; Fuzzy inference ; Learning systems ; Fuzzy rules ; Large dataset ; Membership functions

Information Theory and Signal Processing:716.1 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Data Processing and Image Processing:723.2 ; Expert Systems:723.4.1 ; Machine Learning:723.4.2 ; Information Sources and Analysis:903.1 ; Mathematics:921

IEEE

1.School of Digital Media, Jiangnan University, Wuxi; 214122, China
2.School of Electrical and Information Engineering, Jiangsu University of Science and Technology, Zhenjiang; 100083, China
3.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China
4.Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka; 599-8531, Japan
5.JiangSu Key Laboratory of Media Design and Software Technologies, WuXi; 214122, China

Zhou, Ta,Ishibuchi, Hisao,Wang, Shitong. Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation[J]. IEEE Transactions on Emerging Topics in Computational Intelligence,2017,1(6):421-436.

Zhou, Ta,Ishibuchi, Hisao,&Wang, Shitong.(2017).Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation.IEEE Transactions on Emerging Topics in Computational Intelligence,1(6),421-436.

Zhou, Ta,et al."Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation".IEEE Transactions on Emerging Topics in Computational Intelligence 1.6(2017):421-436.