文章基本信息

标题：A Feature Selection Method Based on ∩ - Fuzzy Similarity Measures Using Multi Objective Genetic Algorithm
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作者：Hassan Nosrati Nahook ; Mahdi Eftekhari
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：2
页码：37-41
出版社：International Journal of Soft Computing & Engineering
摘要：Feature selection (FS) is considered to be an important preprocessing step in machine learning and pattern recognition, and feature evaluation is the key issue for constructing a feature selection algorithm. Feature selection process can also reduce noise and this way enhance the classification accuracy. In this article, feature selection method based on ∩ - fuzzy similarity measures by multi objective genetic algorithm (FSFSM – MOGA) is introduced and performance of the proposed method on published data sets from UCI was evaluated. The results show the efficiency of the method is compared with the conventional version. When this method multi-objective genetic algorithms and fuzzy similarity measures used in CFS method can improve it.
关键词：Feature Selection; Fuzzy Similarity Measures; Multi;Objective Genetic.