 | 2009 |
| 9 |  | Yusuke Nojima,
Hisao Ishibuchi,
Isao Kuwajima:
Parallel distributed genetic fuzzy rule selection.
Soft Comput. 13(5): 511-519 (2009) |
| 2008 |
| 8 |  | Isao Kuwajima,
Hisao Ishibuchi,
Yusuke Nojima:
Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules.
FUZZ-IEEE 2008: 1185-1192 |
| 7 |  | Hisao Ishibuchi,
Yusuke Nojima,
Isao Kuwajima:
Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers.
Computational Intelligence: A Compendium 2008: 641-685 |
| 6 |  | Hisao Ishibuchi,
Isao Kuwajima,
Yusuke Nojima:
Evolutionary Multi-objective Rule Selection for Classification Rule Mining.
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 47-70 |
| 2007 |
| 5 |  | Yusuke Nojima,
Isao Kuwajima,
Hisao Ishibuchi:
Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection.
FUZZ-IEEE 2007: 1-6 |
| 4 |  | Hisao Ishibuchi,
Isao Kuwajima,
Yusuke Nojima:
Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection.
KES (2) 2007: 509-516 |
| 3 |  | Hisao Ishibuchi,
Isao Kuwajima,
Yusuke Nojima:
Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection.
Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 387-396 |
| 2006 |
| 2 |  | Hisao Ishibuchi,
Yusuke Nojima,
Isao Kuwajima:
Multiobjective genetic rule selection as a data mining postprocessing procedure.
GECCO 2006: 1591-1592 |
| 1 |  | Hisao Ishibuchi,
Yusuke Nojima,
Isao Kuwajima:
Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection.
KES (2) 2006: 86-93 |