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A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets ⋆

机译：基于获胜规则和投票程序的模糊推理方法在不平衡数据集分类中的应用研究⋆

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Alberto Fernández; Salvador García; María José Deljesús; Francisco Herrera;
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年度 2014
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专利

1. A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets [J] . Alberto Fernandez, Salvador Garcia, Maria Jose del Jesus, Fuzzy sets and systems . 2008,第18期

机译：不平衡数据集框架下基于语言模糊规则的分类系统的行为研究
2. Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets [J] . Alberto Fernandez, Maria Jose del Jesus, Francisco Herrera International Journal of Approximate Reasoning . 2009,第3期

机译：不平衡数据集的基于遗传规则选择的基于层次模糊规则的分类系统
3. On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets [J] . Fernandez A, del Jesus MJ, Herrera F Information Sciences: An International Journal . 2010,第8期

机译：不平衡数据集中基于模糊规则分类系统的基于二元组的遗传调整性能
4. A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets [C] . Alberto Fernández, Salvador García, María José del Jesús, International Work-Conference on Artificial Neural Networks . 2007

机译：基于获奖规则对比的模糊推理方法的使用研究与不平衡数据集分类
5. Fuzzy classification based on fuzzy association rule mining [D] . Jin, Weiqing 2005

机译：基于模糊关联规则挖掘的模糊分类
6. Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data sets [O] . Federica Martina, Marco Beccuti, Gianfranco Balbo, -1

机译：特殊基因选择：一种新的特征选择方法可改善不平衡数据集中的分类性能
7. An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets [O] . Alberto Fernández, Salvador García, Francisco Herrera, 2007

机译：基于语言规则分类系统的规则权重和模糊推理方法的分析，用于高度不平衡的数据集问题

A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets ⋆

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