Design and Application of Interval Type-2 TSK Fuzzy Logic System Based on QPSO Algorithm
暂无分享,去创建一个
Tao Wang | Yang Chen | Zhi-feng Zhang | Qiu-feng Fan | Zhi-feng Zhang | Yang Chen | Tao Wang | Qiu-feng Fan
[1] Fuqiang Gao,et al. Training algorithm for radial basis function neural network based on quantum-behaved particle swarm optimization , 2010, Int. J. Comput. Math..
[2] Saeid Nahavandi,et al. Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction , 2014, IEEE Transactions on Industrial Informatics.
[3] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[4] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[5] Jerry M. Mendel,et al. A Non-Singleton Interval Type-2 Fuzzy Logic System for universal image noise removal using Quantum-behaved Particle Swarm Optimization , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).
[6] Mohammad Hossein Fazel Zarandi,et al. A type-2 fuzzy rule-based expert system model for stock price analysis , 2009, Expert Syst. Appl..
[7] Jerry Mendel,et al. Type-2 Fuzzy Sets and Systems: An Overview [corrected reprint] , 2007, IEEE Computational Intelligence Magazine.
[8] Wei-Yen Wang,et al. An on-line robust and adaptive T-S fuzzy-neural controller for more general unknown systems , 2008 .
[9] Mohammad Fazle Azeem,et al. Parameter identification of TSK neuro-fuzzy models , 2011, Fuzzy Sets Syst..
[10] Jerry M. Mendel,et al. Type-2 fuzzy logic systems , 1999, IEEE Trans. Fuzzy Syst..
[11] Hani Hagras,et al. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[12] A. K. Iqbal Ahammed. Profoundly Robust Controlling Strategy for Uncertain Nonlinear Mimo System Using T-S Fuzzy System , 2017, Int. J. Fuzzy Syst..
[13] Xu Wen-bo,et al. Convergence analysis of quantum-behaved particle swarm optimization algorithm and study on its control parameter , 2010 .
[14] D. Srinivasan,et al. Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study , 2012, IEEE Transactions on Power Systems.
[15] Tao Wang,et al. DESIGN OF INTERVAL TYPE-2 FUZZY NEURAL NETWORK SYSTEM AND APPLICATION , 2015 .
[16] Jerry M. Mendel,et al. General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial , 2014, IEEE Transactions on Fuzzy Systems.
[17] Choon Ki Ahn,et al. Some new results on stability of Takagi-Sugeno fuzzy Hopfield neural networks , 2011, Fuzzy Sets Syst..
[18] Wenbo Xu,et al. Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[19] Jerry M. Mendel,et al. Applications of Type-2 Fuzzy Logic Systems to Forecasting of Time-series , 1999, Inf. Sci..
[20] Meng Liu,et al. Research on a New Hybrid Optimization Algorithm based on QPSO and FNN , 2016 .
[21] Masaharu Mizumoto,et al. Some Properties of Fuzzy Sets of Type 2 , 1976, Inf. Control..
[22] M. Mizumoto,et al. Fuzzy sets and type 2 under algebraic product and algebraic sum , 1981 .
[23] N. N. Karnik,et al. Introduction to type-2 fuzzy logic systems , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
[24] Jerry M. Mendel,et al. Operations on type-2 fuzzy sets , 2001, Fuzzy Sets Syst..
[25] Jerry M. Mendel,et al. Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..
[26] Jia Zeng,et al. Type-2 fuzzy hidden Markov models and their application to speech recognition , 2006, IEEE Transactions on Fuzzy Systems.
[27] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[28] Felipe Núñez,et al. Fault tolerant measurement system based on Takagi-Sugeno fuzzy models for a gas turbine in a combined cycle power plant , 2011, Fuzzy Sets Syst..
[29] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[30] Dazhi Wang,et al. Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems: With the combination of BP algorithms and KM algorithms , 2016, Neurocomputing.
[31] Mojtaba Ahmadieh Khanesar,et al. A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting , 2016 .
[32] Jun Sun,et al. A global search strategy of quantum-behaved particle swarm optimization , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..
[33] Sehraneh Ghaemi,et al. Gain Scheduling Technique using MIMO Type-2 Fuzzy Logic System for LFC in Restructure Power System , 2017, Int. J. Fuzzy Syst..
[34] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[35] Tao Wang,et al. DESIGN AND SIMULATION OF MAIN STEAM TEMPERATURE CONTROLLER BASED ON INTERVAL TYPE-2 FUZZY LOGIC SYSTEMS , 2013 .
[36] Rajendra Prasad,et al. Optimal Tuning of Fuzzy Logic Power System Stabilizer Using Harmony Search Algorithm , 2015, Int. J. Fuzzy Syst..
[37] Jianbin Qiu,et al. Universal fuzzy controllers based on generalized T-S fuzzy models , 2012, Fuzzy Sets Syst..
[38] Zhi Liu,et al. Type-2 Fuzzy Logic Controller Using SRUKF-Based State Estimations for Biped Walking Robots , 2013 .
[39] Jerry M. Mendel,et al. Type-2 fuzzy sets and systems: an overview , 2007, IEEE Computational Intelligence Magazine.
[40] Ching-Chang Wong,et al. PSO-based Motion Fuzzy Controller Design for Mobile Robots , 2008 .
[41] Ching-Hung Lee,et al. Observer-based adaptive control for a class of nonlinear non-affine systems using recurrent-type fuzzy logic systems , 2013 .
[42] Oscar Castillo,et al. A new approach for plant monitoring using type-2 fuzzy logic and fractal theory , 2004 .