An Extended Type-Reduction Method for General Type-2 Fuzzy Sets
暂无分享,去创建一个
[1] Myriam Regattieri Delgado,et al. General Type-2 Fuzzy Inference Systems: Analysis, Design and Computational Aspects , 2007, 2007 IEEE International Fuzzy Systems Conference.
[2] Oscar Montiel,et al. Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic , 2007, Inf. Sci..
[3] Myriam Regattieri Delgado,et al. Land Cover Classification Based on General Type-2 Fuzzy Classifiers , 2008 .
[4] H. B. Mitchell. Pattern recognition using type-II fuzzy sets , 2005, Inf. Sci..
[5] Saeid Nahavandi,et al. Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction , 2014, IEEE Transactions on Industrial Informatics.
[6] Jia Zeng,et al. Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition , 2008, IEEE Transactions on Fuzzy Systems.
[7] Jerry M. Mendel,et al. Super-Exponential Convergence of the Karnik–Mendel Algorithms for Computing the Centroid of an Interval Type-2 Fuzzy Set , 2007, IEEE Transactions on Fuzzy Systems.
[8] Jerry M. Mendel,et al. Computing the centroid of a general type-2 fuzzy set by means of the centroid-flow algorithm , 2011, IEEE Transactions on Fuzzy Systems.
[9] Dongrui Wu,et al. Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms , 2007, Advances in Evolutionary Computing for System Design.
[10] R. John,et al. A novel sampling method for type-2 defuzzification , 2005 .
[11] Francisco Herrera,et al. Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship , 2015, IEEE Transactions on Fuzzy Systems.
[12] Jerry M. Mendel,et al. Simplified Interval Type-2 Fuzzy Logic Systems , 2013, IEEE Transactions on Fuzzy Systems.
[13] Jerry M. Mendel,et al. Type-2 fuzzy sets and systems: an overview , 2007, IEEE Computational Intelligence Magazine.
[14] Xinwang Liu,et al. Global convergence of Karnik-Mendel algorithms , 2016, Fuzzy Sets Syst..
[15] Jerry M. Mendel,et al. Type-2 fuzzy logic systems , 1999, IEEE Trans. Fuzzy Syst..
[16] Jerry M. Mendel,et al. Enhanced Karnik--Mendel Algorithms , 2009, IEEE Transactions on Fuzzy Systems.
[17] Oscar Castillo,et al. An improved method for edge detection based on interval type-2 fuzzy logic , 2010, Expert Syst. Appl..
[18] Jerry M. Mendel,et al. General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial , 2014, IEEE Transactions on Fuzzy Systems.
[19] Jerry M. Mendel,et al. Centroid of a type-2 fuzzy set , 2001, Inf. Sci..
[20] Woei Wan Tan,et al. Towards an efficient type-reduction method for interval type-2 fuzzy logic systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[21] Shie-Jue Lee,et al. A Fast Method for Computing the Centroid of a Type-2 Fuzzy Set , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[22] Patricia Melin,et al. A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral , 2009, Inf. Sci..
[23] Shie-Jue Lee,et al. Type-Reduction for Concave Type-2 Fuzzy Sets , 2015, New Trends in Intelligent Information and Database Systems.
[24] Jerry M. Mendel,et al. On KM Algorithms for Solving Type-2 Fuzzy Set Problems , 2013, IEEE Transactions on Fuzzy Systems.
[25] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[26] Mohammad Hossein Fazel Zarandi,et al. A type-2 fuzzy rule-based expert system model for stock price analysis , 2009, Expert Syst. Appl..
[27] Feilong Liu,et al. An efficient centroid type-reduction strategy for general type-2 fuzzy logic system , 2008, Inf. Sci..
[28] Oscar Castillo,et al. Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic , 2014, IEEE Transactions on Fuzzy Systems.
[29] Dongrui Wu,et al. Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).
[30] Jerry M. Mendel,et al. Comments on “Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship” , 2015, IEEE Transactions on Fuzzy Systems.
[31] Faa-Jeng Lin,et al. Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network , 2009, IEEE Transactions on Industrial Electronics.
[32] Jerry M. Mendel,et al. Study on enhanced Karnik-Mendel algorithms: Initialization explanations and computation improvements , 2012, Inf. Sci..
[33] Abdelhamid Bouchachia,et al. GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier , 2014, IEEE Transactions on Fuzzy Systems.
[34] Robert Ivor John,et al. A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets , 2008, IEEE Transactions on Fuzzy Systems.
[35] Hani Hagras,et al. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[36] Jerry M. Mendel,et al. Enhanced Centroid-Flow Algorithm for Computing the Centroid of General Type-2 Fuzzy Sets , 2012, IEEE Transactions on Fuzzy Systems.
[37] Jerry M. Mendel,et al. Connect Karnik-Mendel Algorithms to Root-Finding for Computing the Centroid of an Interval Type-2 Fuzzy Set , 2011, IEEE Transactions on Fuzzy Systems.
[38] Shie-Jue Lee,et al. An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets , 2011, IEEE Transactions on Fuzzy Systems.
[39] Yau-Hwang Kuo,et al. The Reduction of Interval Type-2 LR Fuzzy Sets , 2014, IEEE Transactions on Fuzzy Systems.