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Publicaciones Soportadas por el Proyecto KEEL
  Accountable: Francisco José Berlanga Rivera (member_email)

Main Evolutionary Learning





Main  Journal Contributions: Published

Jump to Year:
        2009  2008  2007  2006  2005  2004  2003  2002  2001  2000
        1998  1997  1994



2009

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  Y. Nojima, H. Ishibuchi, I. Kuwajima. Parallel distributed genetic fuzzy rule selection. Soft Computing 13:5 (2009) 511-519   Pdf bib
 

2008

  J.-N. Choi, S.-K. Oh, W. Pedrycz. Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. International Journal of Approximate Reasoning 49:3 (2008) 631-648   Pdf bib
 
  E.G. Mansoori, M.J. Zolghadri, S.D. Katebi. SGERD: A steady-state genetic algorithm for extracting fuzzy classification rules from data. IEEE Transactions on Fuzzy Systems 16:4 (2008) 1061-1071   Pdf bib
 

2007

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  C.-H. Tsang, J.H. Tsai, H. Wang. Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection. Pattern Recognition 40:9 (2007) 2373-2391   Pdf bib
 

2006

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  N. Xiong, P. Funk. Construction of fuzzy knowledge bases incorporating feature selection. Soft Computing 10:9 (2006) 796-804   Pdf bib
 

2005

  J. Abonyi, B. Feil, A. Abraham. Computational intelligence in data mining. Informatica 29:1 (2005) 3-12   Pdf bib
 
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  H. Wang, S. Kwong, Y. Jin, W. Wei, K.F. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems 149:1 (2005) 149-186   Pdf bib
 

2004

  H. Ishibuchi, T. Yamamoto. Comparison of heuristic criteria for fuzzy rule selection in classification problems. Fuzzy Optimization and Decision Making 3:2 (2004) 119-139   Pdf bib
 
  W. Pedrycz. Logic-driven fuzzy modeling with fuzzy multiplexers. Engineering Applications of Artificial Intelligence 17:4 (2004) 383-391   Pdf bib
 

2003

  J. Abonyi, J.A. Roubos, F. Szeifert. Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. International Journal of Approximate Reasoning 32:1 (2003) 1-21   Pdf bib
 
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2002

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  S. Yu, S. Backer, P. Scheunders. Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery. Pattern Recognition Letters 23:1-3 (2002) 183-190   Pdf bib
 

2001

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  H. Ishibuchi, T. Nakashima, T. Murata. Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences 136:1-4 (2001) 109-133   Pdf bib
 
  F. Kojima, N. Kubota, S. Hashimoto. Identification of crack profiles using genetic programming and fuzzy inference. Journal of Materials Processing Technology 108:2 (2001) 263-267   Pdf bib
 

2000

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1998

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  H. Ishibuchi, T. Murata, M. Gen. Performance evaluation of fuzzy rule-based classification systems obtained by multi-objective genetic algorithms. Computers and Industrial Engineering 35:3-4 (1998) 575-578   Pdf bib
 

1997

  H. Ishibuchi, T. Nakashima, T. Murata. Comparison of the Michigan and Pittsburgh approaches to the design of fuzzy classification systems. Electronics and Communications in Japan, Part III: Fundamental Electronic Science 80:12 (1997) 10-18   Pdf bib
 

1994

  H. Ishibuchi, K. Nozaki, N. Yamamoto, H. Tanaka. Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms. Fuzzy Sets and Systems 65:2-3 (1994) 237-253   Pdf bib
 




Main  Contributions to Books Chapters

Jump to Year:   2008  2007  2006



2008

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2007

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2006

  H. Ishibuchi, Y. Nojima. Fuzzy ensemble design through multi-objective fuzzy rule selection. In: Y. Jin (Eds.) Multi-Objective Machine Learning. Studies in Computational Intelligence 16, Springer-Verlag, 2006, 507-530   Pdf bib
 




Main  Conference Contributions

Jump to Year:
        2008  2007  2006  2005  2004  2003  2001  2000  1999  1998
        1997  1994



2008

  F.J. Berlanga, M.J. del Jesus, F. Herrera. A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 101-106   Pdf bib
 
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  H. Ishibuchi, Y. Kaisho, Y. Nojima. Designing fuzzy rule-based classifiers that can visually explain their classification results to human users. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS08). WittenBommerholz (Germany, 2008) 5-10   Pdf bib
 
  I. Kuwajima, H. Ishibuchi, Y. Nojima. Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules. 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE08). Hong Kong (China, 2008) 1185-1192   Pdf bib
 

2007

  M.S. Abadeh, J. Habibi. Computer intrusion detection using an iterative fuzzy rule learning approach. 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (UK, 2007) 1-6   Pdf bib
 
  J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera. Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems. 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (UK, 2007) 1794-1799   Pdf bib
 
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  K. Almejalli, K. Dahal, A. Hossain. GA-based learning algorithms to identify fuzzy rules for fuzzy neural networks. 7th International Conference on Intelligent Systems Design and Applications (ISDA07). Rio de Janeiro (Brazil, 2007) 289-294   Pdf bib
 
  H. Ishibuchi, I. Kuwajima, Y. Nojima. Relation between pareto-optimal fuzzy rules and pareto-optimal fuzzy rule sets. The 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM07). Honolulu (USA, 2007) 42-49   Pdf bib
 
  Y. Nojima, I. Kuwajima, H. Ishibuchi. Data set subdivision for parallel distributed implementation of genetic fuzzy rule selection. 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (UK, 2007) 1-6   Pdf bib
 
  A.-M. Yang, X.-G. Li, L.-M. Jiang, Y.-M. Zhou, Q.-Q. Li. A method of generating rules for a kernel fuzzy classifier. Sixth International Conference on Machine Learning and Cybernetics (ICMLC07). Hong Kong (China, 2007) 2695-2700   Pdf bib
 
  A. Yang, L. Jiang, Y. Zhou. A KFCM-based fuzzy classifier. Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD07). Haikou (China, 2007) 80-84   Pdf bib
 

2006

  M. Bereta, T. Burczynski. MAICS: Multilevel artificial immune classification system. The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC06). Lecture Notes in Computer Science 4029, Springer 2006, Zakopane (Poland, 2006) 563-572   Pdf bib
 
  F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera. A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems. The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC06). Lecture Notes in Computer Science 4029, Springer 2006, Zakopane (Poland, 2006) 182-191   Pdf bib
 
  J.-M. Gil, S.-H. Lee. Genetic-fuzzy modeling on high dimensional spaces. 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES 2006). Lecture Notes in Computer Science 4251, Springer 2006, Bournemouth (UK, 2006) 1147-1154   Pdf bib
 
  H. Ishibuchi, Y. Nojima, I. Kuwajima. Comparison of search ability between genetic fuzzy rule selection and fuzzy genetics-based machine learning. 2006 International Symposium on Evolving Fuzzy Systems (EFS06). Lake District (UK, 2006) 125-130   Pdf bib
 
  H. Ishibuchi, Y. Nojima, I. Kuwajima. Fuzzy data mining by heuristic rule extraction and multiobjective genetic rule selection. 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE06). Vancouver (Canada, 2006) 1633-1640   Pdf bib
 
  H. Ishibuchi, Y. Nojima, I. Kuwajima. Genetic rule selection as a postprocessing procedure in fuzzy data mining. 2006 International Symposium on Evolving Fuzzy Systems (EFS06). Lake District (UK, 2006) 286-291   Pdf bib
 
  H. Ishibuchi, Y. Nojima, I. Kuwajim. Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection. 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES 2006). Lecture Notes in Computer Science 4252, Springer 2006, Bournemouth (UK, 2006) 86-93   Pdf bib
 
  J.-H. Park, D. Stonier, J.-H. Kim, B.-H. Ahn, M.-G. Jeon. Recombinant rule selection in evolutionary algorithm for fuzzy path planner of robot soccer. 29th Annual German Conference on Artificial Intelligence (KI06). Lecture Notes in Computer Science 4314, Springer-Verlag 2006, Bremen (Germany, 2006) 317-330   Pdf bib
 
  Z.-Y. Xing, Y.-L. Hou, Y. Zhang, L.-M. Jia, Y. Hou. A multi-objective cooperative coevolutionary algorithm for constructing accurate and interpretable fuzzy systems. 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE06). Vancouver (Canada, 2006) 1404-1410   Pdf bib
 
  X. Zong-yi, H. Yuan-long, T. Zhong-zhi, J. Li-min. Construction of fuzzy classification system based on multi-objective genetic algorithm. Sixth International Conference on Intelligent Systems Design and Applications (ISDA06). Jinan (China, 2006) 1029-1034   Pdf bib
 

2005

  P.A.D. Castro, H.A. Camargo. Focusing on interpretability and accuracy of a genetic fuzzy system. The 2005 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005). Reno (USA, 2005) 696-701   Pdf bib
 
  H. Ishibuchi, Y. Nojima. Comparison between fuzzy and interval partitions in evolutionary multiobjective design of rule-based classification systems. The 2005 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005). Reno (USA, 2005) 430-435   Pdf bib
 
  H. Ishibuchi, Y. Nojima. Performance evaluation of evolutionary multiobjective approaches to the design of fuzzy rule-based ensemble classifiers. Fifth International Conference on Hybrid Intelligent Systems (HIS05). Rio de Janeiro (Brazil, 2005) 271-276   Pdf bib
 

2004

  H. Ishibuchi, T. Yamamoto. Multi-objective evolutionary design of fuzzy rule-based systems. 2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004). The Hague (The Netherlands, 2004) 2362-2367   Pdf bib
 

2003

  T. Yamamoto, H. Ishibuchi. Performance evaluation of three-objective genetic rule selection. The 2003 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2003). St Louis (USA, 2003) 149-154   Pdf bib
 

2001

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2000

  H. Ishibuchi, T. Nakashima, T. Kuroda. Hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems. The 2000 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000). San Antonio (USA, 2000) 706-711   Pdf bib
 
  H. Roubos, M. Setnes. Compact fuzzy models through complexity reduction and evolutionary optimization. IEEE International Conference on Fuzzy Systems 2000 (Fuzz-IEEE 2000). San Antonio (USA, 2000) 762-767   Pdf bib
 

1999

  H. Ishibuchi, T. Sotani, T. Murata. Tradeoff between the performance of fuzzy rule-based classification systems and the number of fuzzy if-then rules. 1999 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 1999). New York (USA, 1999) 125-129   Pdf bib
 

1998

  H. Ishibuchi, T. Murata. Multi-objective genetic local search for minimizing the number of fuzzy rules for pattern classification problems. The 1998 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1998). Anchorage (USA, 1998) 1100-1105   Pdf bib
 

1997

  H. Ishibuchi, M. Nii, T. Murata. Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection. The 1997 IEEE International Conference on Neural Networks. Houston (USA, 1997) 2390-2395   Pdf bib
 

1994

  H. Ishibuchi, K. Nozaki, N. Yamamoto, H. Tanaka. Acquisition of fuzzy classification knowledge using genetic algorithms. The 1994 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1994). Orlando (USA, 1994) 1963-1968   Pdf bib
 




Main Non Evolutionary Learning





Main  Journal Contributions: Published

Jump to Year:
        2008  2007  2006  2005  2004  2003  2002  2001  2000  1999
        1998  1997  1994



2008

  R. Naresh, V. Sharma, M. Vashisth. An integrated neural fuzzy approach for fault diagnosis of transformers. IEEE Transactions on Power Delivery 23:4 (2008) 2017-2024   Pdf bib
 
  S. Nefti, M. Oussalah, U. Kaymak. A new fuzzy set merging technique using inclusion-based fuzzy clustering. IEEE Transactions on Fuzzy Systems 16:1 (2008) 145-161   Pdf bib
 
  N.R. Pal, S. Saha. Simultaneous structure identification and fuzzy rule generation for Takagi-Sugeno models. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 38:6 (2008) 1626-1638   Pdf bib
 
  P. Salgado. Rule generation for hierarchical collaborative fuzzy system. Applied Mathematical Modelling 32:7 (2008) 1159-1178   Pdf bib
 
  E. Schmitt, V. Bombardier, L. Wendling. Improving fuzzy rule classifier by extracting suitable features from capacities with respect to the Choquet integral. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 38:5 (2008) 1195-1206   Pdf bib
 

2007

  A. Bouchachia, R. Mittermeir. Towards incremental fuzzy classifiers. Soft Computing 11:2 (2007) 193-207   Pdf bib
 
  J.L. Castro, L.D. Flores-Hidalgo, C.J. Mantas, J.M. Puche. Extraction of fuzzy rules from support vector machines. Fuzzy Sets and Systems 158:18 (2007) 2057-2077   Pdf bib
 
  Y. Hou, J.M. Zurada, W. Karwowski, W.S. Marras, K. Davis. Identification of key variables using fuzzy average with fuzzy cluster distribution. IEEE Transactions on Fuzzy Systems 15:4 (2007) 673-685   Pdf bib
 
  S.-M. Zhou, J.Q. Gan. Constructing L2-SVM-based fuzzy classifiers in high-dimensional space with automatic model selection and fuzzy rule ranking. IEEE Transactions on Fuzzy Systems 15:3 (2007) 398-409   Pdf bib
 

2006

  C.-T. Lin, C.-M. Yeh, S.-F. Liang, J.-F. Chung, N. Kumar. Support-vector-based fuzzy neural network for pattern classification. IEEE Transactions on Fuzzy Systems 14:1 (2006) 31-41   Pdf bib
 

2005

  J.G. Castellano, A.M. Fanelli, C. Mencar, C. Castiello. Knowledge discovery by a neuro-fuzzy modeling framework. Fuzzy Sets and Systems 149 (2005) 187-207   Pdf bib
 
  M.K. Ciliz. Rule base reduction for knowledge-based fuzzy controllers with application to a vacuum cleaner. Expert Systems with Applications 28:1 (2005) 175-184   Pdf bib
 

2004

  P. Carmona, J.L. Castro, J.M. Zurita. FRIwE: Fuzzy Rule Identification With Exceptions. IEEE Transactions on Fuzzy Systems 12:1 (2004) 140-151   Pdf bib
 
  D. Chakraborty, N.R. Pal. A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE Transactions on Neural Networks 15:1 (2004) 110-123   Pdf bib
 
  M.-Y. Chen, D.A. Linkens. Rule-base self-generation and simplification for data-driven fuzzy models. Fuzzy Sets and Systems 142:2 (2004) 243-265   Pdf bib
 
  W. Duch, R. Setiono, J.M. Zurada. Computational intelligence methods for rule-based data understanding. Proceedings of the IEEE 92:5 (2004) 771-805   Pdf bib
 
  X. Hong, C.J. Harris, S. Chen. Robust Neurofuzzy Rule Base Knowledge Extraction and Estimation Using Subspace Decomposition Combined with Regularization and D-Optimality. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34:1 (2004) 598-608   Pdf bib
 
  Q. Shen, R. Jensen. Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring. Pattern Recognition 37:7 (2004) 1351-1363   Pdf bib
 

2003

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  M.R. Berthold. Mixed fuzzy rule formation. International Journal of Approximate Reasoning 32:2-3 (2003) 67-84   Pdf bib
 
  Y. Chen, J.Z. Wang. Support Vector Learning for Fuzzy Rule-Based Classification Systems. IEEE Transactions on Fuzzy Systems 11:6 (2003) 716-728   Pdf bib
 
  X. Hong, C.J. Harris. A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems 11:4 (2003) 528-541   Pdf bib
 
  J.A. Roubos, M. Setnes, J. Abonyi. Learning fuzzy classification rules from labeled data. Information Sciences 150:1-2 (2003) 77-93   Pdf bib
 

2002

    Pdf bib
 
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  R.P. Li, M. Mukaidono, I. Burhan. A fuzzy neural network for pattern classification and feature selection. Fuzzy Sets and Systems 130:1 (2002) 101-108   Pdf bib
 
  Q. Shen, A. Chouchoulas. A rough-fuzzy approach for generating classification rules. Pattern Recognition 35:11 (2002) 2425-2438   Pdf bib
 

2001

  V. Ravi, H.J. Zimmermann. A neural network and fuzzy rule base hybrid for pattern classification. Soft Computing - A Fusion of Foundations, Methodologies and Applications 5:2 (2001) 152-159   Pdf bib
 
  M. Setnes, R. Babuska. Rule base reduction: Some comments on the use of orthogonal transforms. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 31:2 (2001) 199-206   Pdf bib
 

2000

  V. Ravi, H.J. Zimmermann. Fuzzy rule based classification with FeatureSelector and modified threshold accepting. European Journal of Operational Research 123:1 (2000) 16-28   Pdf bib
 
  V. Ravi, P.J. Reddy, H.J. Zimmermann. Pattern classification with principal component analysis and fuzzy rule bases. European Journal of Operational Research 126:3 (2000) 526-533   Pdf bib
 
  Q. Shen, A. Chouchoulas. Modular approach to generating fuzzy rules with reduced attributes for the monitoring of complex systems. Engineering Applications of Artificial Intelligence 13:3 (2000) 263-278   Pdf bib
 
  R. Silipo, M.R. Berthold. Input features' impact on fuzzy decision processes. IEEE Transactions on Systems, Man and Cybernetics, Part B 30:6 (2000) 821-834   Pdf bib
 

1999

  L. Mikenina, H.J. Zimmermann. Improved feature selection and classification by the 2-additive fuzzy measure. Fuzzy Sets and Systems 107:2 (1999) 197-218   Pdf bib
 
  M. Ramze, B. Goedhart, B.P.F. Lelieveldt, J.H.C. Reiber. Fuzzy feature selection. Pattern Recognition 32:12 (1999) 2011-2019   Pdf bib
 
  J. Yen, L. Wang. Simplifying fuzzy rule-based models using orthogonal transformation methods. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 29:1 (1999) 13-24   Pdf bib
 

1998

  J. Martens, G. Wets, C. Mues. An initial comparison of a fuzzy neural classifier and a decision tree based classifier. Expert Systems with Applications 15:3-4 (1998) 375-381   Pdf bib
 
  M. Setnes, R. Babuska, U. Kaymak, H.R. Van Nauta Lemke. Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 28:3 (1998) 376-386   Pdf bib
 

1997

  R. Thawonmas, S. Abe. A novel approach to feature selection based on analysis of class regions. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 27:2 (1997) 196-207   Pdf bib
 

1994

  C.-T. Sun. Rule-base structure identification in an adaptive-network-based fuzzy inference system. EEE Transactions on Fuzzy Systems 2:1 (1994) 64-73   Pdf bib
 
  E. Tunstel, S. Hockemeier, M. Jamshidi. Fuzzy control of a hovercraft platform. Engineering Applications of Artificial Intelligence 7:5 (1994) 513-519   Pdf bib
 




Main  Conference Contributions

Jump to Year:   2008  2007  2006  2004  1997  1994



2008

  S.-M. Zhou, R.I. John, X.-Y. Wang, J.M. Garibaldi, I.O. Ellis. Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. 2008 IEEE Congress on Evolutionary Computation (CEC08). Hong Kong (China, 2008) 1469-1475   Pdf bib
 

2007

  O. Dehzangi, M.J. Zolghadri, S. Taheri, S.M. Fakhrahmad. Efficient fuzzy rule generation: A new approach using data mining principles and rule weighting. Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD07). Haikou (China, 2007) 134-139   Pdf bib
 
  S.M. Fakhrahmad, A. Zare, M.Z. Jahromi. Constructing accurate fuzzy rule-based classification systems using apriori principles and rule-weighting. 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL07). Lecture Notes in Computer Science 4881, Springer-Verlag 2007, Birmingham (UK, 2007) 547-556   Pdf bib
 
  N.R. Pal. A fuzzy rule based approach to identify biomarkers for diagnostic classification of cancers. 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (UK, 2007) 1-6   Pdf bib
 
  B. Pizzileo, K. Li. A new fast algorithm for fuzzy rule selection. 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE07). London (UK, 2007) 1-6   Pdf bib
 

2006

  N.E. Mitrakis, J.B. Theocharis. A self-organizing fuzzy polynomial neural network - Multistage classifier. The 2006 International Symposium on Evolving Fuzzy Systems (EFS06). Lake District (UK, 2006) 74-79   Pdf bib
 
  D. Wang, X.-J. Zeng, J.A. Keane. Learning for hierarchical fuzzy systems based on the gradient-descent method. 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE06). Vancouver (Canada, 2006) 92-99   Pdf bib
 

2004

  O. Ciftcioglu. Note on orthogonal transformation methods for simplifying fuzzy rule-based models. 2004 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2004). Banff (Canada, 2004) 756-761   Pdf bib
 
  H. Ishibuchi, T. Yamamoto. Heuristic extraction of fuzzy classification rules using data mining techniques: An empirical study on benchmark data sets. The 2004 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004). Budapest (Hungary, 2004) 161-166   Pdf bib
 

1997

  H. Ishibuchi, T. Nakashima, T. Morisawa. Simple fuzzy rule-based classification systems perform well on commonly used real-world data sets. 1997 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS97). Syracuse (USA, 1997) 251-256   Pdf bib
 

1994

  K. Nozaki, H. Ishibuchi, H. Tanaka. Selecting fuzzy rules with forgetting in fuzzy classification systems. The 1994 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 1994). Orlando (USA, 1994) 618-623   Pdf bib
 




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