Modification on enhanced Karnik-Mendel algorithm
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[1] Jerry M. Mendel,et al. Centroid of a type-2 fuzzy set , 2001, Inf. Sci..
[2] 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).
[3] Jerry M. Mendel,et al. Study on enhanced Karnik-Mendel algorithms: Initialization explanations and computation improvements , 2012, Inf. Sci..
[4] Oscar Castillo,et al. Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems , 2015, Expert Syst. Appl..
[5] Oscar Castillo,et al. Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control , 2015, Inf. Sci..
[6] Hao Ying,et al. Derivation and Analysis of the Analytical Structures of the Interval Type-2 Fuzzy-PI and PD Controllers , 2010, IEEE Transactions on Fuzzy Systems.
[7] Dongrui Wu. An overview of alternative type-reduction approaches for reducing the computational cost of interval type-2 fuzzy logic controllers , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[8] 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.
[9] Dongrui Wu,et al. Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers , 2006, Eng. Appl. Artif. Intell..
[10] H. Hagras,et al. Type-2 FLCs: A New Generation of Fuzzy Controllers , 2007, IEEE Computational Intelligence Magazine.
[11] Yuanli Cai,et al. Advantages of the Enhanced Opposite Direction Searching Algorithm for Computing the Centroid of An Interval Type‐2 Fuzzy Set , 2012 .
[12] Jerry M. Mendel,et al. Applications of Type-2 Fuzzy Logic Systems to Forecasting of Time-series , 1999, Inf. Sci..
[13] Oscar Castillo,et al. A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition , 2014, Appl. Soft Comput..
[14] M. Melgarejo,et al. A Fast Recursive Method to Compute the Generalized Centroid of an Interval Type-2 Fuzzy Set , 2007, NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society.
[15] Jerry M. Mendel,et al. Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems , 2002, IEEE Trans. Fuzzy Syst..
[16] Jerry M. Mendel,et al. Uncertainty measures for interval type-2 fuzzy sets , 2007, Inf. Sci..
[17] Jerry M. Mendel,et al. Enhanced Karnik--Mendel Algorithms , 2009, IEEE Transactions on Fuzzy Systems.
[18] Jianqiang Yi,et al. A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[19] Oscar Castillo,et al. Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm , 2014, Appl. Soft Comput..
[20] Robert Ivor John,et al. The collapsing method of defuzzification for discretised interval type-2 fuzzy sets , 2009, Inf. Sci..
[21] 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).
[22] Saeid Nahavandi,et al. Prediction interval construction using interval type-2 Fuzzy Logic systems , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[23] Yeong-Hwa Chang,et al. Simplified type-2 fuzzy sliding controller for wing rock system , 2012, Fuzzy Sets Syst..
[24] Shie-Jue Lee,et al. An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets , 2011, IEEE Transactions on Fuzzy Systems.
[25] Robert Ivor John,et al. An Investigation into Alternative Methods for the Defuzzification of an Interval Type-2 Fuzzy Set , 2006, 2006 IEEE International Conference on Fuzzy Systems.
[26] Hani Hagras,et al. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[27] Jerry M. Mendel,et al. Stability analysis of type-2 fuzzy systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[28] D. Srinivasan,et al. Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study , 2012, IEEE Transactions on Power Systems.
[29] Jerry M. Mendel,et al. Simplified Interval Type-2 Fuzzy Logic Systems , 2013, IEEE Transactions on Fuzzy Systems.
[30] Huayou Chen,et al. Hesitant Fuzzy Power Bonferroni Means and Their Application to Multiple Attribute Decision Making , 2015, IEEE Transactions on Fuzzy Systems.
[31] Dongrui Wu,et al. On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers , 2012, IEEE Transactions on Fuzzy Systems.
[32] Junxia Wang,et al. Generalized Discrete Fuzzy Number and Application in Risk Evaluation , 2015, Int. J. Fuzzy Syst..
[33] Jerry M. Mendel,et al. Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters , 2000, IEEE Trans. Fuzzy Syst..
[34] Cengiz Kahraman,et al. Interval Type-2 Fuzzy Capital Budgeting , 2015, Int. J. Fuzzy Syst..
[35] Jerry M. Mendel,et al. A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets , 2009, Inf. Sci..
[36] Jerry M. Mendel,et al. Computing With Words for Hierarchical Decision Making Applied to Evaluating a Weapon System , 2010, IEEE Transactions on Fuzzy Systems.
[37] Dongrui Wu,et al. Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons , 2013, IEEE Transactions on Fuzzy Systems.