摘要： 简要叙述了模糊粗糙集理论中与属性约简相关的几个重要概念,研究了属性模糊化方法,并提出了一种结合遗传算法和模糊粗糙集理论的属性约简算法,它能快速找到完整地保留了原始数据集合的信息的一个属性约简。

关键词: 模糊粗糙集, 遗传算法, 属性约简算法

Abstract: Some important concepts for attribute-reducing in fuzzy-rough set theory are explained briefly, and the methodology of attribute-fuzzing is examined closely. Finally, the paper proposes a new algorithm, which combines genetic algorithm and fuzzy rough set theory. It can quickly find a reduct of original attributes set which keeps the information of original dataset completely.

中图分类号: 

• TP18