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A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

机译：基于模糊相似性度量的多目标遗传算法特征选择新方法

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Hassan Nosrati Nahook; Mahdi Eftekhari;
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年度 2014
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1. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining [J] . Hisao Ishibuchi, Takashi Yamamoto Fuzzy sets and systems . 2004,第1期

机译：数据挖掘中多目标遗传局部搜索算法的模糊规则选择及规则评估措施
2. A Fuzzy Parallel Island Model Multi Objective Genetic Algorithm Gene Feature Selection For Microarray Classification [J] . A. Natarajan, R. Balasubramanian International Journal of Applied Engineering Research . 2016,第4aPta7期

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3. Multi-objective Evolutionary Algorithm Based on the Fuzzy Similarity Measure [J] . Junfeng Li, Wenzhan Dai, Huijiao Wang Key Engineering Materials . 2010,第pta1期

机译：基于模糊相似度测度的多目标进化算法
4. On the use of bagging, mutual information-based feature selection and multicriteria genetic algorithms to design fuzzy rule-based classification ensembles [C] . Oscar Cordon, Arnaud Quirin, Luciano Sanchez International Conference on Hybrid Intelligent Systems . 2008

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5. Feature subset selection via multi-objective genetic algorithm [D] . Lac, Hao Chi 2005

机译：通过多目标遗传算法进行特征子集选择
6. Genetic algorithm based hybrid approach to solve fuzzy multi-objective assignment problem using exponential membership function [O] . Jayesh M. Dhodiya, Anita Ravi Tailor -1

机译：基于遗传算法的混合混合方法用指数隶属函数求解模糊多目标分配问题
7. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining [O] . Hisao Ishibuchi, Takashi Yamamoto 2008

机译：基于多目标遗传局部搜索算法的模糊规则选择及数据挖掘中的规则评估措施

A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

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