An approach for non-singleton generalized Type-2 fuzzy classifiers
暂无分享,去创建一个
[1] Christian Wagner,et al. Contrasting singleton type-1 and interval type-2 non-singleton type-1 fuzzy logic systems , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[2] Héctor Pomares,et al. On comparing non-singleton type-1 and singleton type-2 fuzzy controllers for a nonlinear servo system , 2011, 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ).
[3] Piero P. Bonissone,et al. A fuzzy random forest , 2010, Int. J. Approx. Reason..
[4] Min Zhou,et al. Footprint of uncertainty for type-2 fuzzy sets , 2014, Inf. Sci..
[5] Feilong Liu,et al. An efficient centroid type-reduction strategy for general type-2 fuzzy logic system , 2008, Inf. Sci..
[6] Patricia Melin,et al. Toward a development of general type-2 fuzzy classifiers applied in diagnosis problems through embedded type-1 fuzzy classifiers , 2020, Soft Comput..
[7] Mehrbakhsh Nilashi,et al. Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification , 2019, Biocybernetics and Biomedical Engineering.
[8] Shitong Wang,et al. Bayesian Takagi–Sugeno–Kang Fuzzy Classifier , 2017, IEEE Transactions on Fuzzy Systems.
[9] Saeid Nahavandi,et al. Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller , 2020, J. Intell. Fuzzy Syst..
[10] Sunny Thukral,et al. Versatility of fuzzy logic in chronic diseases: A review. , 2019, Medical hypotheses.
[11] Oscar Castillo,et al. High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems , 2018, Eng. Appl. Artif. Intell..
[12] Joo-Ho Lee,et al. Heartbeat classification using local transform pattern feature and hybrid neural fuzzy-logic system based on self-organizing map , 2020, Biomed. Signal Process. Control..
[14] 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).
[15] Hani Hagras,et al. Towards comparing adaptive type-2 input based non-singleton type-2 FLS and non-singleton FLSs employing Gaussian inputs , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[16] Martin Tabakov,et al. A new reasoning approach combining information systems and interval type-2 fuzzy sets , 2019, J. Intell. Fuzzy Syst..
[17] P. M. Pradhan,et al. Design of interval type-2 fuzzy precompensated PID controller applied to two-DOF robotic manipulator with variable payload. , 2019, ISA transactions.
[18] Teck Wee Chua,et al. Non-singleton genetic fuzzy logic system for arrhythmias classification , 2011, Eng. Appl. Artif. Intell..
[19] Zhen Zhao,et al. Interval type-2 fuzzy tracking control for nonlinear systems via sampled-data controller , 2019, Fuzzy Sets Syst..
[20] Simon Coupland. Type-2 Fuzzy Sets: Geometric Defuzzification and Type-Reduction , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.
[21] Jing Wang. Examination on face recognition method based on type 2 blurry , 2020, J. Intell. Fuzzy Syst..
[22] Oscar Castillo,et al. A review on the applications of type-2 fuzzy logic in classification and pattern recognition , 2013, Expert Syst. Appl..
[23] Juan R. Castro,et al. A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems , 2016, Inf. Sci..
[24] Changyin Wei,et al. Numerical Investigation on Fuzzy Logic Control Energy Management Strategy of Parallel Hybrid Electric Vehicle , 2019, Energy Procedia.
[25] Mohammad Hossein Fazel Zarandi,et al. Multi-central general type-2 fuzzy clustering approach for pattern recognitions , 2016, Inf. Sci..
[26] Oscar Castillo,et al. Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines , 2020, Soft Comput..
[27] Dongrui Wu,et al. Computationally Efficient Type-Reduction Strategies for a Type-2 Fuzzy Logic Controller , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..
[28] Giuseppe De Pietro,et al. Likelihood-fuzzy analysis: From data, through statistics, to interpretable fuzzy classifiers , 2018, Int. J. Approx. Reason..
[29] Antero Arkkio,et al. Detection of stator winding fault in induction motor using fuzzy logic , 2008, Appl. Soft Comput..
[30] Sharaf AlKheder,et al. Enhancing pedestrian safety, walkability and traffic flow with fuzzy logic. , 2019, The Science of the total environment.
[31] Witold Pedrycz,et al. Fuzzy granular classification based on the principle of justifiable granularity , 2019, Knowl. Based Syst..
[32] Tahar Bahi,et al. Condition Monitoring and Fault Detection in Wind Turbine Based on DFIG by the Fuzzy Logic , 2015 .
[33] Jerry M. Mendel,et al. Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.
[34] Witold Pedrycz,et al. Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier , 2018, IEEE Transactions on Fuzzy Systems.
[35] Jianbin Qiu,et al. Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems , 2020, IEEE Transactions on Fuzzy Systems.
[36] Jerry M. Mendel,et al. $\alpha$-Plane Representation for Type-2 Fuzzy Sets: Theory and Applications , 2009, IEEE Transactions on Fuzzy Systems.
[37] K. V. Arya,et al. Traffic Management using Logistic Regression with Fuzzy Logic , 2018 .
[38] Yan-Lin He,et al. Energy modeling and saving potential analysis using a novel extreme learning fuzzy logic network: A case study of ethylene industry , 2018 .
[39] Guang-Zhong Yang,et al. A Self-Adaptive Online Brain–Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System , 2018, IEEE Transactions on Fuzzy Systems.
[40] Yue Chen,et al. Application of machine learning and image target recognition in English learning task , 2020, J. Intell. Fuzzy Syst..
[41] Jerry M. Mendel,et al. General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial , 2014, IEEE Transactions on Fuzzy Systems.
[42] 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).
[43] Patricia Melin,et al. A hybrid design of shadowed type-2 fuzzy inference systems applied in diagnosis problems , 2019, Eng. Appl. Artif. Intell..
[44] Jiaxin Liu,et al. Similarity-based non-singleton general type-2 fuzzy logic controller with applications to mobile two-wheeled robots , 2019, J. Intell. Fuzzy Syst..
[45] Oscar Castillo,et al. New Methodology to Approximate Type-Reduction Based on a Continuous Root-Finding Karnik Mendel Algorithm , 2017, Algorithms.
[46] Patricia Melin,et al. Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis , 2020, Inf. Sci..
[47] Oscar Castillo,et al. Designing a general type-2 fuzzy expert system for diagnosis of depression , 2019, Appl. Soft Comput..
[48] Hani Hagras,et al. Toward General Type-2 Fuzzy Logic Systems Based on zSlices , 2010, IEEE Transactions on Fuzzy Systems.