Sugeno M, Kang G T. Structure Identification of Fuzzy Model. Fuzzy Sets and Systems, 1988, 28(1): 15-33
[2]
Takagi T, Sugeno M. Fuzzy Identification of Systems and Its Applications to Modeling and Control. IEEE Trans on System, Man and Cybernetics, 1985, 15(1): 116-132
[3]
Jeng J T S, Lee T T. Support Vector Machines for the Fuzzy Neural Networks // Proc of the IEEE International Conference on Systems, Man and Cybernetics. Tokyo, Japan, 1999, Ⅵ: 115-120
[4]
Kim K J, Suga Y, Won S. New Fuzzy Inference System Using Support Vector Machine // Proc of the 41st IEEE Conference on Decision and Control. Las Vegas, USA, 2002, Ⅱ: 1349-1354
[5]
Lin C T, Yeh C M, Liang S F, et al. Support-Vector-Based Fuzzy Neural Network for Pattern Classification. IEEE Trans on Fuzzy Systems, 2006, 14(1): 31-41
[6]
Leski J K. On Support Vector Regression Machines with Linguistic Interpretation of Kernel Matrix. Fuzzy Sets and Systems, 2006, 157(8): 1092-1113
[7]
Celikyilmaz A, Burhan T I. Fuzzy Functions with Support Vector Machines. Information Sciences: An International Journal, 2007, 177(23): 5163-5177
[8]
Deng Naiyang, Tian Yingjie. New Method in Data Mining: Support Vector Machine. Beijing, China: Science Press, 2004 (in Chinese) (邓乃杨,田英杰.数据挖掘的新方法——支持向量机.北京:科学出版社, 2004)
[9]
Babuska R. Fuzzy Modeling for Control. Boston, USA: Kluwer Academic, 1998
[10]
Yen J, Liang Wang, Charles W G. Improving the Interpretability of TSK Fuzzy Models by Combining Global Learning and Local Learning. IEEE Trans on Fuzzy System, 1998, 6(4): 530-537
[11]
Jang J S R. ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Trans on Systems, Man and Cybernetics, 1993, 23(3): 665-685
[12]
Box G E P, Jenkins G M. Time Series Analysis, Forecasting and Control. San Francisco, USA: Holden Day, 1970
[13]
Chen Yixin, Wang J Z. Support Vector Learning for Fuzzy Rule-Based Classification Systems. IEEE Trans on Fuzzy Systems, 2003, 11(6): 716-728
[14]
Chen Yixin, Wang J Z. Kernel Machines and Additive Fuzzy Systems: Classification and Function Approximation // Proc of the IEEE International Conference on Fuzzy Systems. St Louis, USA, 2003, Ⅱ: 789-795
[15]
Leski J K. Neuro-Fuzzy System with Learning Tolerant to Imprecision. Fuzzy Sets and Systems, 2003, 138(2): 427-439
