| Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems H Ishibuchi, T Nakashima, T Murata IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 697 | 1999 |
| Classification and modeling with linguistic information granules: Advanced approaches to linguistic Data Mining H Ishibuchi, T Nakashima, M Nii Springer Science & Business Media, 2004 | 627 | 2004 |
| Effect of rule weights in fuzzy rule-based classification systems H Ishibuchi, T Nakashima IEEE Transactions on Fuzzy Systems 9 (4), 506-515, 2001 | 611 | 2001 |
| Three-objective genetics-based machine learning for linguistic rule extraction H Ishibuchi, T Nakashima, T Murata Information sciences 136 (1-4), 109-133, 2001 | 402 | 2001 |
| Hybridization of fuzzy GBML approaches for pattern classification problems H Ishibuchi, T Yamamoto, T Nakashima IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005 | 349 | 2005 |
| Voting in fuzzy rule-based systems for pattern classification problems H Ishibuchi, T Nakashima, T Morisawa Fuzzy sets and systems 103 (2), 223-238, 1999 | 326 | 1999 |
| Thermography based breast cancer analysis using statistical features and fuzzy classification G Schaefer, M Závišek, T Nakashima Pattern recognition 42 (6), 1133-1137, 2009 | 257 | 2009 |
| Multiple regression with fuzzy data A Bargiela, W Pedrycz, T Nakashima Fuzzy sets and systems 158 (19), 2169-2188, 2007 | 153 | 2007 |
| Fuzzy data mining: Effect of fuzzy discretization H Ishibuchi, T Yamamoto, T Nakashima Proceedings 2001 IEEE International Conference on Data Mining, 241-248, 2001 | 134 | 2001 |
| A weighted fuzzy classifier and its application to image processing tasks T Nakashima, G Schaefer, Y Yokota, H Ishibuchi Fuzzy sets and systems 158 (3), 284-294, 2007 | 114 | 2007 |
| A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems H Ishibuchi, T Nakashima, T Murata Proceedings of 1995 IEEE International Conference on Evolutionary …, 1995 | 105 | 1995 |
| Helios base: An open source package for the robocup soccer 2d simulation H Akiyama, T Nakashima RoboCup 2013: Robot World Cup XVII 17, 528-535, 2014 | 97 | 2014 |
| Multi-objective pattern and feature selection by a genetic algorithm H Ishibuchi, T Nakashima Proceedings of the 2nd annual conference on genetic and evolutionary …, 2000 | 82 | 2000 |
| Fuzzy association rules for handling continuous attributes H Ishibuchi, T Nakashima, T Yamamoto ISIE 2001. 2001 IEEE International Symposium On Industrial Electronics …, 2001 | 75 | 2001 |
| Helios2013 team description paper H Akiyama, T Nakashima, K Yamashita, S Mifune RoboCup, 2013 | 56 | 2013 |
| Data mining of gene expression data by fuzzy and hybrid fuzzy methods G Schaefer, T Nakashima IEEE transactions on information technology in biomedicine 14 (1), 23-29, 2009 | 54 | 2009 |
| The 2007 ieee cec simulated car racing competition J Togelius, S Lucas, HD Thang, JM Garibaldi, T Nakashima, CH Tan, ... Genetic Programming and Evolvable Machines 9, 295-329, 2008 | 50 | 2008 |
| Genetic-algorithm-based approaches to the design of fuzzy systems for multi-dimensional pattern classification problems H Ishibuchi, T Nakashima, T Murata Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 46 | 1996 |
| Genetic-algorithm-based instance and feature selection H Ishibuchi, T Nakashima, M Nii Instance selection and construction for data mining, 95-112, 2001 | 41 | 2001 |
| A hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems H Ishibuchi, T Nakashima, T Kuroda Ninth IEEE International Conference on Fuzzy Systems. FUZZ-IEEE 2000 (Cat …, 2000 | 38 | 2000 |
