摘要: 分析了当前研究中常用的离散化方法,提出了一种基于粗集理论的离散化分析方法,在保持所要求的分类能力不变的情况下,发现并删除冗余分割点,对原离散结果进行简化,从而有效减小挖掘算法的搜索空间。
关键词:
粗集,
离散化,
冗余分割点,
分类能力
Abstract: This paper,firstly introduces some discretization methods in current research,then proposes a new method for reducing the cutting points on the base of rough set and suggests ways in which the discretization may be modified to remove the redundant cuts and at last produces small discretizations which maintains the required capability of classification. ;;;
中图分类号:
刘业政,杨善林,钟金宏. 基于粗集理论的冗余分割点约简[J]. , 2002, 28(08): 25-27.
LIU Yezheng, YANG Shanlin, ZHONG Jinhong. Discretizing a Set of Continuous Attributes Based on Genetic Algorithms and Rough Sets,,[J]. , 2002, 28(08): 25-27.