华中师范大学学报（自然科学版）2018，Vol.52Issue(3)：322-328,7.DOI:10.19603/j.cnki.1000-1190.2018.03.006
基于遗传算法和变精度粗糙集的离散化算法
Discretization algorithm based on genetic algorithm and variable precision rough set
摘要
Abstract
The commonly used discretization methods are suitable for the discretization of single attribute.They successively discretize each attribute while used for the discretization task of multiattributes.This kind of discretization methods does not take into the relations between attributes.A continuous multiattributes discretization method based on genetic algorithm and variable precision rough set was proposed.The method used genetic algorithm to find the global optimal cut points of continuous multiattributes.And the fitness function was constructed based on the accuracy of approximation classi fication of variable precision rough set.To validate the effectiveness of the proposed discretization method,it was applied to some UCI data sets.And the experimental results indicate that the proposed discretization method can acquire relative better discretization results.关键词
多维连续属性/离散化/遗传算法/粗糙集/变精度粗糙集Key words
continuous multiattributes/discretization/genetic algorithm/rough set/variable precision rough set分类
信息技术与安全科学引用本文复制引用
张婧,曹峰,唐超..基于遗传算法和变精度粗糙集的离散化算法[J].华中师范大学学报（自然科学版）,2018,52(3):322-328,7.基金项目
国家自然科学基金项目(41401521) （41401521）
山西省青年科技研究基金项目(2015021101,201601D021027,201601D021076) （2015021101,201601D021027,201601D021076）
智能信息处理山西省重点实验室开放课题基金项目(2004001,2016001) （2004001,2016001）
合肥学院人才科研基金项目(15RC07) （15RC07）
安徽高校自然科学研究项目(KJ2015A206). （KJ2015A206）
