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双论域上基于加权粒度的多粒度粗糙集

彭连贵 阎瑞霞 陈昭君

计算机与数字工程2019,Vol.47Issue(8):1985-1990,2093,7.
计算机与数字工程2019,Vol.47Issue(8):1985-1990,2093,7.DOI:10.3969/j.issn.1672-9722.2019.08.029

双论域上基于加权粒度的多粒度粗糙集

Multi-granulation Rough Set Based on Weighted Granularity on the Two Universes

彭连贵 1阎瑞霞 1陈昭君1

作者信息

  • 1. 上海工程技术大学管理学院 上海 201620
  • 折叠

摘要

Abstract

Aiming at the shortcomings of multi-granularity rough set in the discussion of granularity weighted and universe ex?pansion problem,multi-granularity rough set based on weighted granularity on the two universes is proposed. This model considers the importance of different granularity in practice. On this basis,the nature of the model is discussed,and the model is applied to the talent selection to verify its effectiveness. Through the comparative analysis of the model,it is found that the new model improves the time efficiency while ensuring the accuracy of the results. The rough set model has a better effect than the single universe and the general granularity relation.

关键词

多粒度/粗糙集/双论域/加权

Key words

multi-granularity/rough set/two universes/weight

分类

信息技术与安全科学

引用本文复制引用

彭连贵,阎瑞霞,陈昭君..双论域上基于加权粒度的多粒度粗糙集[J].计算机与数字工程,2019,47(8):1985-1990,2093,7.

基金项目

国家自然科学基金项目(编号:71301100) (编号:71301100)

上海市教委科研创新项目(编号:14YZ140)资助. (编号:14YZ140)

计算机与数字工程

OACSTPCD

1672-9722

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