Type-2 Fuzzy Neural Networks and Their Applications

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[1]  Bijan Fazlollahi,et al.  Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks , 2009, Fuzzy Sets Syst..

[2]  Jerry M. Mendel,et al.  Interval type-2 fuzzy logic systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[3]  Hideo Tanaka,et al.  A Learning Algorithm of Fuzzy Neural Networks with Fuzzy Weights , 1993 .

[4]  J. Kacprzyk,et al.  Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining , 2005 .

[5]  Oscar Castillo,et al.  Adaptive noise cancellation using type-2 fuzzy logic and neural networks , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[6]  Rafik A. Aliev,et al.  Soft Computing and its Applications in Business and Economics , 2004, Studies in Fuzziness and Soft Computing.

[7]  Witold Pedrycz,et al.  A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations , 2006, Inf. Sci..

[8]  Yu-Ching Lin,et al.  An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems , 2005, Control. Intell. Syst..

[9]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[10]  Rafik A. Aliev,et al.  Soft Computing and Its Applications , 2001 .

[11]  Plamen P. Angelov,et al.  A fuzzy controller with evolving structure , 2004, Inf. Sci..

[12]  Janusz Kacprzyk,et al.  LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC , 2001 .

[13]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[14]  Manuel Castañón-Puga,et al.  A Distributed Agency Methodology Applied to Complex Social Systems - A Multi-Dimensional Approach , 2011, ICEIS.

[15]  Witold Pedrycz,et al.  Efficient decomposition methods of fuzzy relation and their application to image decomposition , 2005, Appl. Soft Comput..

[16]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[17]  Jonathan Lawry,et al.  Modelling with Words , 2003, Lecture Notes in Computer Science.

[18]  Frank Chung-Hoon Rhee,et al.  Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to $C$-Means , 2007, IEEE Transactions on Fuzzy Systems.

[19]  Ujjwal Maulik,et al.  Soft Computing and its Applications , 2011 .

[20]  Witold Pedrycz,et al.  Distributed fuzzy system modeling , 1995, IEEE Trans. Syst. Man Cybern..

[21]  Rafik A. Aliev,et al.  Genetic algorithm-based learning of fuzzy neural networks. Part 1: feed-forward fuzzy neural networks , 2001, Fuzzy Sets Syst..

[22]  Sankar K. Pal,et al.  Neuro-Fuzzy Pattern Recognition , 1999 .

[23]  Witold Pedrycz,et al.  Fuzzy Systems Engineering - Toward Human-Centric Computing , 2007 .

[24]  Jonathan Lawry,et al.  An Alternative Approach to Computing with Words , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[25]  J. Casillas Interpretability issues in fuzzy modeling , 2003 .

[26]  Witold Pedrycz,et al.  Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization , 2011, Inf. Sci..

[27]  Ching-Hung Lee,et al.  Construction of Asymmetric Type-2 Fuzzy Membership Functions and Application in Time Series Prediction , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[28]  Jerry M. Mendel,et al.  Centroid of a type-2 fuzzy set , 2001, Inf. Sci..

[29]  Janusz Kacprzyk,et al.  A Fuzzy Logic Based Approach to Linguistic Summaries of Databases , 2000 .

[30]  Hak-Keung Lam,et al.  Tuning of the structure and parameters of a neural network using an improved genetic algorithm , 2003, IEEE Trans. Neural Networks.

[31]  Ivica Kostanic,et al.  Principles of Neurocomputing for Science and Engineering , 2000 .

[32]  Hongxing Li,et al.  Fuzzy Neural Network Theory and Application , 2004, Series in Machine Perception and Artificial Intelligence.

[33]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[34]  J. Mendel Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .

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

[36]  W. Pedrycz,et al.  An introduction to fuzzy sets : analysis and design , 1998 .

[37]  Jerry M. Mendel,et al.  Type-2 fuzzy logic systems , 1999, IEEE Trans. Fuzzy Syst..

[38]  Hooman Tahayori,et al.  Approximated Type-2 Fuzzy Set Operations , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[39]  Okyay Kaynak,et al.  A type-2 fuzzy wavelet neural network for system identification and control , 2013, J. Frankl. Inst..

[40]  Mohammad Teshnehlab,et al.  Identification of cement rotary kiln using hierarchical wavelet fuzzy inference system , 2012, J. Frankl. Inst..

[41]  Witold Pedrycz,et al.  Genetically optimized logic models , 2005, Fuzzy Sets Syst..

[42]  Ching-Hung Lee,et al.  Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions , 2008 .

[43]  James J. Buckley,et al.  Universal fuzzy controllers , 1992, Autom..

[44]  Witold Pedrycz,et al.  The genetic development of ordinal sums , 2005, Fuzzy Sets Syst..

[45]  Anna Wilbik,et al.  Linguistic Summaries of Time Series via a Quantifier Based Aggregation Using the Sugeno Integral , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[46]  W. Pedrycz,et al.  OR/AND neuron in modeling fuzzy set connectives , 1994, IEEE Trans. Fuzzy Syst..

[47]  F. Chung-Hoon Rhee Uncertain Fuzzy Clustering: Insights and Recommendations , 2007 .

[48]  Witold Pedrycz,et al.  Heterogeneous fuzzy logic networks: fundamentals and development studies , 2004, IEEE Transactions on Neural Networks.

[49]  Witold Pedrycz,et al.  Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation-degranulation information processing , 2007, Signal Process..

[50]  Marc Thuillard Wavelets in Soft Computing , 2001, World Scientific Series in Robotics and Intelligent Systems.

[51]  Bijan Fazlollahi,et al.  Recurrent Fuzzy Neural Networks and Their Performance Analysis , 2008 .

[52]  Rahib Hidayat Abiyev Fuzzy wavelet neural network for prediction of electricity consumption , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[53]  Jerry M. Mendel,et al.  The Linguistic Weighted Average , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[54]  Ching-Hung Lee,et al.  Identification and control of dynamic systems using recurrent fuzzy neural networks , 2000, IEEE Trans. Fuzzy Syst..

[55]  J.M. Mendel,et al.  Computing with Words: Zadeh, Turing, Popper and Occam , 2007, IEEE Computational Intelligence Magazine.

[56]  Sankar K. Pal,et al.  Logical operation based fuzzy MLP for classification and rule generation , 1994, Neural Networks.

[57]  M. Sugeno,et al.  Derivation of Fuzzy Control Rules from Human Operator's Control Actions , 1983 .

[58]  Okyay Kaynak,et al.  Fuzzy Wavelet Neural Networks for Identification and Control of Dynamic Plants—A Novel Structure and a Comparative Study , 2008, IEEE Transactions on Industrial Electronics.

[59]  Chi-Hsu Wang,et al.  Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN) , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[60]  R. Storn,et al.  Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .

[61]  Jerry M. Mendel,et al.  Type-2 Fuzzistics for Symmetric Interval Type-2 Fuzzy Sets: Part 2, Inverse Problems , 2007, IEEE Transactions on Fuzzy Systems.

[62]  Slawomir Zadrozny,et al.  Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools , 2005, Inf. Sci..

[63]  Derek A. Linkens,et al.  Rule-base self-generation and simplification for data-driven fuzzy models , 2004, Fuzzy Sets Syst..

[64]  Khaled Assaleh,et al.  A wavelet- and neural network-based voice system for a smart wheelchair control , 2011, J. Frankl. Inst..

[65]  Daniel W. C. Ho,et al.  Fuzzy wavelet networks for function learning , 2001, IEEE Trans. Fuzzy Syst..

[66]  Congxin Wu,et al.  Approximation capabilities of multilayer fuzzy neural networks on the set of fuzzy-valued functions , 2009, Inf. Sci..