Multiobjective Genetic Fuzzy Systems
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[1] Shigeo Abe,et al. Pattern Classification: Neuro-fuzzy Methods and Their Comparison , 2012 .
[2] Francisco Herrera,et al. Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions , 2011, Soft Comput..
[3] Carlos A. Coello Coello,et al. On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem , 2011, IEEE Transactions on Evolutionary Computation.
[4] Oscar Castillo,et al. Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms , 2011, Soft Comput..
[5] Francisco Herrera,et al. Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems , 2010, IEEE Transactions on Fuzzy Systems.
[6] Beatrice Lazzerini,et al. Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets , 2010, Soft Comput..
[7] Kay Chen Tan,et al. A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design , 2010, Eur. J. Oper. Res..
[8] Shawki Areibi,et al. Strength Pareto Particle Swarm Optimization and Hybrid EA-PSO for Multi-Objective Optimization , 2010, Evolutionary Computation.
[9] Chia-Feng Juang,et al. Designing Fuzzy-Rule-Based Systems Using Continuous Ant-Colony Optimization , 2010, IEEE Transactions on Fuzzy Systems.
[10] José M. Alonso,et al. Looking for a good fuzzy system interpretability index: An experimental approach , 2009, Int. J. Approx. Reason..
[11] Beatrice Lazzerini,et al. Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework , 2009, Int. J. Approx. Reason..
[12] Yujia Wang,et al. Particle swarm optimization with preference order ranking for multi-objective optimization , 2009, Inf. Sci..
[13] Chia-Feng Juang,et al. A self-generating fuzzy system with ant and particle swarm cooperative optimization , 2009, Expert Syst. Appl..
[14] Alessio Botta,et al. Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index , 2008, Soft Comput..
[15] Hisao Ishibuchi,et al. Parallel distributed genetic fuzzy rule selection , 2008, Soft Comput..
[16] A. Rama Mohan Rao,et al. Multi-objective optimal design of fuzzy logic controller using a self configurable swarm intelligence algorithm , 2008 .
[17] Hannu Koivisto,et al. Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms , 2008, Int. J. Approx. Reason..
[18] Hisao Ishibuchi,et al. Evolutionary many-objective optimization: A short review , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[19] Satchidananda Dehuri,et al. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases , 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.
[20] Chia-Feng Juang,et al. Ant Colony Optimization Algorithm for Fuzzy Controller Design and Its FPGA Implementation , 2008, IEEE Transactions on Industrial Electronics.
[21] Manoj Kumar Tiwari,et al. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[22] Francisco Herrera,et al. Genetic fuzzy systems: taxonomy, current research trends and prospects , 2008, Evol. Intell..
[23] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[24] Francisco Herrera,et al. A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[25] Nicola Beume,et al. SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..
[26] Sam Kwong,et al. Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection , 2007, Pattern Recognition.
[27] Antonio F. Gómez-Skarmeta,et al. Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms , 2007, EUSFLAT Conf..
[28] Hisao Ishibuchi,et al. Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design , 2007, Int. J. Hybrid Intell. Syst..
[29] Z. Xing,et al. On Generating Fuzzy Systems based on Pareto Multi-objective Cooperative Coevolutionary Algorithm , 2007 .
[30] Hisao Ishibuchi,et al. Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions , 2007, 2007 IEEE International Fuzzy Systems Conference.
[31] Hisao Ishibuchi,et al. Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets , 2007, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making.
[32] Beatriz de la Iglesia,et al. Rule Induction for Classification Using Multi-objective Genetic Programming , 2007, EMO.
[33] Ian Griffin,et al. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation , 2007, EMO.
[34] Hisao Ishibuchi,et al. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization , 2007, EMO.
[35] Kay Chen Tan,et al. A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[36] Héctor Pomares,et al. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms , 2007, Int. J. Approx. Reason..
[37] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .
[38] Beatriz de la Iglesia,et al. Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[39] Hisao Ishibuchi,et al. Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection , 2006, KES.
[40] Edmund K. Burke,et al. Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings , 2006, PPSN.
[41] Lourdes Araujo,et al. Multiobjective Genetic Programming for Natural Language Parsing and Tagging , 2006, PPSN.
[42] Qingfu Zhang,et al. A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages , 2006, PPSN.
[43] Hisao Ishibuchi,et al. Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers , 2006, Int. J. Hybrid Intell. Syst..
[44] Hyun-Su Kim,et al. Fuzzy Control of Base‐Isolation System Using Multi‐Objective Genetic Algorithm , 2006, Comput. Aided Civ. Infrastructure Eng..
[45] Kalyanmoy Deb,et al. Reference point based multi-objective optimization using evolutionary algorithms , 2006, GECCO.
[46] Mehmet Kaya,et al. Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules , 2006, Soft Comput..
[47] Victor J. Rayward-Smith,et al. The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification , 2006, Eur. J. Oper. Res..
[48] Evan J. Hughes,et al. Evolutionary many-objective optimisation: many once or one many? , 2005, 2005 IEEE Congress on Evolutionary Computation.
[49] Joshua D. Knowles,et al. Improvements to the scalability of multiobjective clustering , 2005, 2005 IEEE Congress on Evolutionary Computation.
[50] Joshua D. Knowles,et al. Multiobjective clustering around medoids , 2005, 2005 IEEE Congress on Evolutionary Computation.
[51] B. V. Babu,et al. Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor , 2005 .
[52] Christian Setzkorn,et al. On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems. , 2005, Bio Systems.
[53] Hisao Ishibuchi,et al. Rule weight specification in fuzzy rule-based classification systems , 2005, IEEE Transactions on Fuzzy Systems.
[54] Philipp Slusallek,et al. Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.
[55] Shiyou Yang,et al. A particle swarm optimization-based method for multiobjective design optimizations , 2005, IEEE Transactions on Magnetics.
[56] Francisco Herrera,et al. Stratification for scaling up evolutionary prototype selection , 2005, Pattern Recognit. Lett..
[57] Tong Heng Lee,et al. Multiobjective Evolutionary Algorithms and Applications , 2005, Advanced Information and Knowledge Processing.
[58] Kim-Fung Man,et al. Agent-based evolutionary approach for interpretable rule-based knowledge extraction , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[59] Hisao Ishibuchi,et al. Hybridization of fuzzy GBML approaches for pattern classification problems , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[60] Bernhard Sendhoff,et al. Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations , 2005, EMO.
[61] Bogdan Filipic,et al. DEMO: Differential Evolution for Multiobjective Optimization , 2005, EMO.
[62] Luiz Eduardo Soares de Oliveira,et al. Multi-objective Genetic Algorithms to Create Ensemble of Classifiers , 2005, EMO.
[63] Joshua D. Knowles,et al. Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering , 2005, EMO.
[64] Victor J. Rayward-Smith,et al. Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules , 2005, EMO.
[65] Ralf Mikut,et al. Interpretability issues in data-based learning of fuzzy systems , 2005, Fuzzy Sets Syst..
[66] Chi-Jui Wu,et al. Optimal multiobjective planning of large-scale passive harmonic filters using hybrid differential evolution method considering parameter and loading uncertainty , 2005 .
[67] María José del Jesús,et al. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction , 2005, IEEE Transactions on Fuzzy Systems.
[68] Gary B. Lamont,et al. Applications Of Multi-Objective Evolutionary Algorithms , 2004 .
[69] Lakhmi C. Jain,et al. Knowledge-Based Intelligent Information and Engineering Systems , 2004, Lecture Notes in Computer Science.
[70] Hisao Ishibuchi,et al. Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining , 2004, Advanced information processing.
[71] Andrzej Jaszkiewicz,et al. On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study , 2004, Eur. J. Oper. Res..
[72] Richard M. Everson,et al. Intelligent Data Engineering and Automated Learning – IDEAL 2004 , 2004, Lecture Notes in Computer Science.
[73] Hisao Ishibuchi,et al. Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems , 2004, PPSN.
[74] Joshua D. Knowles,et al. Evolutionary Multiobjective Clustering , 2004, PPSN.
[75] Xin Yao,et al. DIVACE: Diverse and Accurate Ensemble Learning Algorithm , 2004, IDEAL.
[76] Bernhard Sendhoff,et al. Neural network regularization and ensembling using multi-objective evolutionary algorithms , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[77] Bhabesh Nath,et al. Multi-objective rule mining using genetic algorithms , 2004, Inf. Sci..
[78] Carlos A. Coello Coello,et al. Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[79] Liang-Hsuan Chen,et al. An intelligent control system with a multi-objective self-exploration process , 2004, Fuzzy Sets Syst..
[80] W. Renhart,et al. Pareto optimality and particle swarm optimization , 2004, IEEE Transactions on Magnetics.
[81] Peter J. Fleming,et al. Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop , 2004, Eng. Appl. Artif. Intell..
[82] U. Aickelin,et al. Parallel Problem Solving from Nature - PPSN VIII , 2004, Lecture Notes in Computer Science.
[83] Peter J. Fleming,et al. Evolutionary many-objective optimisation: an exploratory analysis , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[84] V. J. Rayward-Smith,et al. Data mining rules using multi-objective evolutionary algorithms , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[85] Hussein A. Abbass,et al. Pareto neuro-evolution: constructing ensemble of neural networks using multi-objective optimization , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[86] Hussein A. Abbass,et al. Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms , 2003, Neural Computation.
[87] Héctor Pomares,et al. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation , 2003, IEEE Trans. Neural Networks.
[88] Xavier Llorà,et al. Bounding the Effect of Noise in Multiobjective Learning Classifier Systems , 2003, Evolutionary Computation.
[89] Luiz Eduardo Soares de Oliveira,et al. A Methodology for Feature Selection Using Multiobjective Genetic Algorithms for Handwritten Digit String Recognition , 2003, Int. J. Pattern Recognit. Artif. Intell..
[90] Luiz Eduardo Soares de Oliveira,et al. Feature selection for ensembles:a hierarchical multi-objective genetic algorithm approach , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..
[91] F. Herrera,et al. Accuracy Improvements in Linguistic Fuzzy Modeling , 2003 .
[92] Hisao Ishibuchi,et al. Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers , 2003, GECCO.
[93] Xin Yao,et al. Performance Scaling of Multi-objective Evolutionary Algorithms , 2003, EMO.
[94] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[95] Francisco Herrera,et al. Linguistic modeling with hierarchical systems of weighted linguistic rules , 2003, Int. J. Approx. Reason..
[96] Dr. Alex A. Freitas. Data Mining and Knowledge Discovery with Evolutionary Algorithms , 2002, Natural Computing Series.
[97] Enrique Alba,et al. Parallelism and evolutionary algorithms , 2002, IEEE Trans. Evol. Comput..
[98] Oscar Cordón,et al. Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming , 2002, PPSN.
[99] Luiz Eduardo Soares de Oliveira,et al. Feature selection using multi-objective genetic algorithms for handwritten digit recognition , 2002, Object recognition supported by user interaction for service robots.
[100] Qiang Shen,et al. From approximative to descriptive fuzzy classifiers , 2002, IEEE Trans. Fuzzy Syst..
[101] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[102] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[103] Ian C. Parmee,et al. Preferences and their application in evolutionary multiobjective optimization , 2002, IEEE Trans. Evol. Comput..
[104] Tzung-Pei Hong,et al. Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[105] Magne Setnes,et al. Compact and transparent fuzzy models and classifiers through iterative complexity reduction , 2001, IEEE Trans. Fuzzy Syst..
[106] Hisao Ishibuchi,et al. Three-objective genetics-based machine learning for linguistic rule extraction , 2001, Inf. Sci..
[107] F. Gomide,et al. Ten years of genetic fuzzy systems: current framework and new trends , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[108] Antonio González Muñoz,et al. Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm , 2001, Fuzzy Sets Syst..
[109] Serge Guillaume,et al. Designing fuzzy inference systems from data: An interpretability-oriented review , 2001, IEEE Trans. Fuzzy Syst..
[110] Lothar Thiele,et al. Multiobjective genetic programming: reducing bloat using SPEA2 , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[111] Antonio F. Gómez-Skarmeta,et al. Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization , 2001, EMO.
[112] Carlos M. Fonseca,et al. Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function , 2001, EMO.
[113] Erick Cantú-Paz,et al. Efficient and Accurate Parallel Genetic Algorithms , 2000, Genetic Algorithms and Evolutionary Computation.
[114] Magne Setnes,et al. GA-fuzzy modeling and classification: complexity and performance , 2000, IEEE Trans. Fuzzy Syst..
[115] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[116] Ludmila I. Kuncheva,et al. How good are fuzzy If-Then classifiers? , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[117] C. Emmanouilidis,et al. A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[118] Carlos A. Coello Coello,et al. Handling preferences in evolutionary multiobjective optimization: a survey , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[119] Hisao Ishibuchi,et al. Effect of rule weights in fuzzy rule-based classification systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[120] Yaochu Jin,et al. Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement , 2000, IEEE Trans. Fuzzy Syst..
[121] Hisao Ishibuchi,et al. Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes , 1999, IEEE Trans. Ind. Electron..
[122] Bernhard Sendhoff,et al. On generating FC3 fuzzy rule systems from data using evolution strategies , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[123] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[124] M. Lozano,et al. MOGUL: A methodology to obtain genetic fuzzy rule‐based systems under the iterative rule learning approach , 1999 .
[125] Hisao Ishibuchi,et al. Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[126] Roberto J. Bayardo,et al. Mining the most interesting rules , 1999, KDD '99.
[127] Ebrahim H. Mamdani,et al. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..
[128] Eric Bauer,et al. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.
[129] Rudolf Kruse,et al. Obtaining interpretable fuzzy classification rules from medical data , 1999, Artif. Intell. Medicine.
[130] Hisao Ishibuchi,et al. Voting in fuzzy rule-based systems for pattern classification problems , 1999, Fuzzy Sets Syst..
[131] Antonio González Muñoz,et al. SLAVE: a genetic learning system based on an iterative approach , 1999, IEEE Trans. Fuzzy Syst..
[132] John Yen,et al. Improving the interpretability of TSK fuzzy models by combining global learning and local learning , 1998, IEEE Trans. Fuzzy Syst..
[133] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[134] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[135] Uzay Kaymak,et al. Similarity measures in fuzzy rule base simplification , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[136] Rudolf Kruse,et al. How the learning of rule weights affects the interpretability of fuzzy systems , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
[137] Vladimir Cherkassky,et al. Learning from Data: Concepts, Theory, and Methods , 1998 .
[138] Magne Setnes,et al. Rule-based modeling: precision and transparency , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[139] Francisco Herrera,et al. A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples , 1997, Int. J. Approx. Reason..
[140] Shigeo Abe,et al. A fuzzy classifier with ellipsoidal regions , 1997, IEEE Trans. Fuzzy Syst..
[141] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[142] Hisao Ishibuchi,et al. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems , 1997, Fuzzy Sets Syst..
[143] Antonio F. Gómez-Skarmeta,et al. A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling , 1997, IEEE Trans. Fuzzy Syst..
[144] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[145] Bart Kosko,et al. Fuzzy function approximation with ellipsoidal rules , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[146] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[147] Hisao Ishibuchi,et al. Selecting linguistic classification rules by two-objective genetic algorithms , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[148] Hisao Ishibuchi,et al. Selecting fuzzy if-then rules for classification problems using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..
[149] T. Fukuda,et al. Self-tuning fuzzy modeling with adaptive membership function, rules, and hierarchical structure based on genetic algorithm , 1995 .
[150] J. Mendel. Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.
[151] Shigeo Abe,et al. A method for fuzzy rules extraction directly from numerical data and its application to pattern classification , 1995, IEEE Trans. Fuzzy Syst..
[152] Cheng-Jian Lin,et al. An ART-based fuzzy adaptive learning control network , 1994, NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige.
[153] Hideo Tanaka,et al. Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms , 1994, CVPR 1994.
[154] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[155] Alexandre Parodi,et al. A New Approach to Fuzzy Classifier Systems , 1993, ICGA.
[156] David S. Feldman,et al. Fuzzy Network Synthesis with Genetic Algorithms , 1993, ICGA.
[157] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[158] C. L. Karr,et al. Fuzzy control of pH using genetic algorithms , 1993, IEEE Trans. Fuzzy Syst..
[159] H. Ishibuchi,et al. Distributed representation of fuzzy rules and its application to pattern classification , 1992 .
[160] Yoshiki Uchikawa,et al. On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm , 1992, IEEE Trans. Neural Networks.
[161] Patrick K. Simpson,et al. Fuzzy min-max neural networks. I. Classification , 1992, IEEE Trans. Neural Networks.
[162] L X Wang,et al. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.
[163] L. Wang,et al. Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[164] B. Kosko. Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.
[165] Chin-Teng Lin,et al. Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.
[166] Heinz Mühlenbein,et al. The parallel genetic algorithm as function optimizer , 1991, Parallel Comput..
[167] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1991, Proceedings of the 1991 IEEE International Symposium on Intelligent Control.
[168] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.
[169] Charles L. Karr,et al. Design of a cart-pole balancing fuzzy logic controller using a genetic algorithm , 1991, Defense, Security, and Sensing.
[170] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[171] Chuen-Chien Lee,et al. Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..
[172] D.E. Goldberg,et al. Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..
[173] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[174] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[175] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[176] E. H. Mamdani,et al. Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.
[177] Magdalene Marinaki,et al. Fuzzy control optimized by a Multi-Objective Particle Swarm Optimization algorithm for vibration suppression of smart structures , 2011 .
[178] Hisao Ishibuchi,et al. Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers , 2008, Computational Intelligence: A Compendium.
[179] Jesús Alcalá-Fdez,et al. Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation , 2007, Int. J. Approx. Reason..
[180] Hisao Ishibuchi,et al. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning , 2007, Int. J. Approx. Reason..
[181] Yaochu Jin,et al. Multi-Objective Machine Learning , 2006, Studies in Computational Intelligence.
[182] Yaochu Jin,et al. Knowledge incorporation in evolutionary computation , 2005 .
[183] Kim-Fung Man,et al. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction , 2005, Fuzzy Sets Syst..
[184] X. Yao,et al. Evolutionary framework for the construction of diverse hybrid ensembles , 2005, ESANN.
[185] Francisco Herrera,et al. Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions , 2005 .
[186] Hisao Ishibuchi,et al. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining , 2004, Fuzzy Sets Syst..
[187] Yi-Chung Hu,et al. Finding fuzzy classification rules using data mining techniques , 2003, Pattern Recognit. Lett..
[188] Luis Magdalena,et al. A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems , 2003 .
[189] J. Casillas. Interpretability issues in fuzzy modeling , 2003 .
[190] Julian F. Miller,et al. Genetic and Evolutionary Computation — GECCO 2003 , 2003, Lecture Notes in Computer Science.
[191] Luis Magdalena,et al. Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview , 2003 .
[192] Ferenc Szeifert,et al. Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization , 2003, Int. J. Approx. Reason..
[193] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[194] Juan Julián Merelo Guervós,et al. Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006, Proceedings , 2006, PPSN.
[195] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[196] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[197] María José del Jesús,et al. A proposal on reasoning methods in fuzzy rule-based classification systems , 1999, Int. J. Approx. Reason..
[198] Matthew A. Kupinski,et al. Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating ROC Curves , 1999, IEEE Trans. Medical Imaging.
[199] Magne Setnes,et al. Supervised fuzzy clustering for rule extraction , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).
[200] Detlef Nauck,et al. Foundations Of Neuro-Fuzzy Systems , 1997 .
[201] P. K. Simpson. Fuzzy Min-Max Neural Networks-Part 1 : Classification , 1992 .
[202] C. L. Karr. Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm , 1991, ICGA.
[203] Philip R. Thrift,et al. Fuzzy Logic Synthesis with Genetic Algorithms , 1991, ICGA.
[204] Manuel Valenzuela-Rendón,et al. The Fuzzy Classifier System: A Classifier System for Continuously Varying Variables , 1991, ICGA.
[205] Chuen-Chien Lee. FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .
[206] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[207] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[208] J. Bezdek,et al. FCM: The fuzzy c-means clustering algorithm , 1984 .
[209] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[210] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[211] J. Dunn. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .