计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (29): 21-23.

• 博士论坛 • 上一篇    下一篇

VPRS模型中γ与β关系分析及相关算法研究

陈 可,陈晓红   

  1. 中南大学 商学院,长沙 410083
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-11 发布日期:2007-10-11
  • 通讯作者: 陈 可

Study on relationship of parameter-β and γ based on variable precision rough set model

CHEN Ke,CHEN Xiao-hong   

  1. School of Business,Central South University,Changsha 410083,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-11 Published:2007-10-11
  • Contact: CHEN Ke

摘要: 可变精度粗糙集模型是标准粗糙集模型的扩展,通过引入参数β,改善了粗糙集模型对噪声数据的适应能力。通过对VPRS理论的应用,分析了决策表中分类质量γ与参数β值之间的反向相关关系,基于两者之间关系的分析结果,给出了依据γ来确定β精确取值区间的算法。

关键词: 可变精度粗糙集, 参数-β, 分类质量, 阀值

Abstract: ariable precision rough set model is the extension of standard Rough Set model.Through introducing a parameter-β,the ability of adapting noisy data has been improved.This paper analyzes the relationship of classification quality-γ and parameter-β in decision tables,and constructs an algorithm to ascertain the β area based on given γ value.

Key words: variable precision rough set, parameter-β, quality of classification(γ), threshold value