Page 202 - 《软件学报》2020年第11期
P. 202

3518                                Journal of Software  软件学报 Vol.31, No.11, November 2020

                 References:
                 [1]    Deng  ZH,  Choi  KS,  Chung FL, Wang ST. Scalable  TSK fuzzy  modeling for  very large datasets using  minimal-enclosing-ball
                     approximation. IEEE Trans. on Fuzzy Systems, 2011,19(2):210−226.
                 [2]    Jiang YZ, Deng ZH, Chung  FL, Wang GJ, Qian  PJ, Choi KS, Wang  ST. Recognition  of epileptic EEG  signals  using a  novel
                     multiview TSK fuzzy system. IEEE Trans. on Fuzzy Systems, 2017,25(1):3−20.
                 [3]    Zhang XX, LI HX, Cheng C,  Ma SW. Transfer  learning  based  3D fuzzy  multivariable  control for  an RTP system.  Applied
                     Intelligence, 2020,50(3):812−829.
                 [4]    Juang CF, Lai MG, Zeng WT. Evolutionary fuzzy control and navigation for two wheeled robots cooperatively carrying an object
                     in unknown environments. IEEE Trans. on Cybernetics, 2015,45(9):1731−1743.
                 [5]    Deng ZH, Xu P,  Xie  LX,  Choi  KS, Wang ST.  Transductive  joint-knowledge-transfer TSK FS for recognition of  epileptic  EEG
                     signals. IEEE Trans. on Neural Systems and Rehabilitation Engineering, 2018,26(8):1481−1494.
                 [6]    Shi Y, Mizumoto M. Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method. Fuzzy Sets
                     and Systems, 2000,112(1):51−63.
                 [7]    Kala  R, Deepa P.  Adaptive fuzzy hexagonal bilateral filter for brain  MRI denoising.  Multimedia  Tools  and  Applications, 2020,
                     79(21-22):15513−15530.
                 [8]    Wang GM, Jia QS, Qiao JF, Bi J, Liu CX. A sparse deep belief network with efficient fuzzy learning framework. Neural Networks,
                     2020,121:430−440.
                 [9]    Kanungo T, Mount DM, Netanyahu NS, Piatko CD, Silverman R, Wu AY. An efficient k-means clustering algorithm: Analysis and
                     implementation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002,24(7):881−892.
                [10]    Chaira T. A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images. Applied Soft Computing,
                     2011,11(2):1711−1717.
                [11]    Wang LX. Analysis and design of hierarchical fuzzy systems. IEEE Trans. on Fuzzy Systems, 1999,7(5):617−624.
                [12]    Saravanan B, Mohanraj V, Senthilkumar J. A fuzzy entropy technique for dimensionality reduction in recommender systems using
                     deep learning. Soft Computing, 2019,23(8):2575−2583.
                [13]    Yang CH, Chuang LY, Lin YD. An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis. Artificial
                     Intelligence in Medicine, 2020,102:Article No.101768.
                [14]    Wang SG, Deng CW, Lin WS, Huang GB, Zhao BJ. NMF-based image quality assessment using extreme learning machine. IEEE
                     Trans. on Cybernetics, 2017,47(1):232−243.
                [15]    Chaira T. A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images. Applied Soft Computing,
                     2011,11(2):1711−1717.
                [16]    Wang ST, Chung FL, Wu J, Wang J. Least learning machine and its experimental studies on regression capability. Applied Soft
                     Computing, 2014,21(1):677−684.
                [17]    Wang ST, Jiang YZ, Chung FL, Qian PJ. Feedforward kernel neural networks, generalized least learning machine, and its deep
                     learning with application to image classification. Applied Soft Computing, 2015,37(1):125−141.
                [18]    2011. http://hdl.handle.net/1822/14838
                [19]    2011. http://www3.dsi.uminho.pt/pcortez/bib/2011-esm-1.txt
                [20]    Kuncheva LI. How good are fuzzy if-then classifiers. IEEE Trans. on Systems, Man, and Cybernetics, Part B, 2000,30(4):501−509.


                              周塔(1980-),男,博士,主要研究领域为模                      蒋亦樟(1988-),男,博士,CCF 高级会员,
                              式识别,数据挖掘.                                    主要研究领域为模式识别,系统建模.




                              邓赵红(1981-),男,博士,教授,博士生导                      王士同(1964-),男,硕士,教授,博士生导
                              师,CCF 杰出会员,主要研究领域为模式识                        师,CCF 专业会员,主要研究领域为模式识
                              别,数据挖掘.                                      别,人工智能.
   197   198   199   200   201   202   203   204   205   206   207