Rule generation for hierarchical collaborative fuzzy system

[1]  H. Akaike.  Fitting autoregressive models for prediction , 1969 .

[2]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[3]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[4]  Jun Zhou,et al.  Hierarchical fuzzy control , 1991 .

[5]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[6]  Jun Zhou,et al.  Adaptive hierarchical fuzzy controller , 1993, IEEE Trans. Syst. Man Cybern..

[7]  Martin Brown,et al.  High dimensional neurofuzzy systems: overcoming the curse of dimensionality , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[8]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[9]  Y. J. Chen,et al.  Simplification of fuzzy-neural systems using similarity analysis , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[10]  J.-S.R. Jang,et al.  Input selection for ANFIS learning , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[11]  Tai-Ming Parng,et al.  A new approach of multi-stage fuzzy logic inference , 1996, Fuzzy Sets Syst..

[12]  Witold Pedrycz,et al.  Rule-based modeling of nonlinear relationships , 1997, IEEE Trans. Fuzzy Syst..

[13]  Yinghua Lin,et al.  Using fuzzy partitions to create fuzzy systems from input-output data and set the initial weights in a fuzzy neural network , 1997, IEEE Trans. Fuzzy Syst..

[14]  Guanrong Chen,et al.  Necessary Conditions for Some Typical Fuzzy Systems as Universal Approximators , 1997, Autom..

[15]  H. Ishibuchi,et al.  Input selection in fuzzy rule-based classification systems , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[16]  Ronald R. Yager,et al.  On the construction of hierarchical fuzzy systems models , 1998, IEEE Trans. Syst. Man Cybern. Part C.

[17]  Uzay Kaymak,et al.  Similarity measures in fuzzy rule base simplification , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[18]  Li-Xin Wang,et al.  Universal approximation by hierarchical fuzzy systems , 1998, Fuzzy Sets Syst..

[19]  Li-Xin Wang,et al.  Analysis and design of hierarchical fuzzy systems , 1999, IEEE Trans. Fuzzy Syst..

[20]  Thomas A. Runkler,et al.  Alternating cluster estimation: a new tool for clustering and function approximation , 1999, IEEE Trans. Fuzzy Syst..

[21]  S.-H. Lin,et al.  Synergistic modeling and applications of hierarchical fuzzy neural networks , 1999 .

[22]  N. Gershenfeld,et al.  Cluster-weighted modelling for time-series analysis , 1999, Nature.

[23]  Ching-Chang Wong,et al.  A hybrid clustering and gradient descent approach for fuzzy modeling , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[24]  Shigeo Abe,et al.  Function approximation based on fuzzy rules extracted from partitioned numerical data , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[25]  Korris Fu-Lai Chung,et al.  On multistage fuzzy neural network modeling , 2000, IEEE Trans. Fuzzy Syst..

[26]  Fernando José Von Zuben,et al.  Hierarchical genetic fuzzy systems , 2001, Inf. Sci..

[27]  Chris J. Harris,et al.  Neurofuzzy mixture of experts network parallel learning and model construction algorithms , 2001 .

[28]  Derek A. Linkens,et al.  Rule-base self-generation and simplification for data-driven fuzzy models , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[29]  Kanta Tachibana,et al.  A structure identification method of submodels for hierarchical fuzzy modeling using the multiple objective genetic algorithm , 2002, Int. J. Intell. Syst..

[30]  Xia Hong,et al.  Nonlinear model structure design and construction using orthogonal least squares and D-optimality design , 2002, IEEE Trans. Neural Networks.

[31]  Ferenc Szeifert,et al.  Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[32]  Eugene Roventa,et al.  Averaging procedures in defuzzification processes , 2003, Fuzzy Sets Syst..

[33]  Paulo Salgado,et al.  Clustering and hierarchization of fuzzy systems , 2005, Soft Comput..

[34]  Paulo Salgado,et al.  Greenhouse climate hierarchical fuzzy modelling , 2005 .