南京大学学报(自然科学版) ›› 2010, Vol. 46 ›› Issue (5): 487493.
王 璐, 邱桃荣** , 何 妞, 刘 萍
Wang Lu, Qiu Tao Rong, H e Niu, Liu Ping
摘要: 特征选择在许多领域特具有重要的作用. 本文将粗糙集方法和蚁群优化算法相结合, 提出一种基于粗糙集蚁群优化方法的特征选择的算法. 该算法以属性依赖度和属性重要度作为启发因子应用
于转移规则中, 用粗糙集方法的分类质量和特征子集的长度构建信息素更新策略. 通过对数据集的测试, 结果表明所提出的方法是可行的.
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