计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 88-92.doi: 10.11896/j.issn.1002-137X.2015.06.020

• 第十届和谐人机环境联合学术会议 • 上一篇    下一篇

条件概率描述下的多粒度覆盖粗糙集模型研究

刘财辉,涂小强   

  1. 赣南师范学院数学与计算机科学学院 赣州341000;阿尔伯特大学电子与计算机工程系 埃德蒙顿AB T6G 2G7,赣南师范学院数学与计算机科学学院 赣州341000
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(61305052),国家留学基金委(201409865003),江西省普通本科高校中青年教师发展计划访问学者专项资金项目资助

Conditional Probability-based Multi-granulation Covering Rough Sets

LIU Cai-hui and TU Xiao-qiang   

  • Online:2018-11-14 Published:2018-11-14

摘要: 在覆盖空间中,利用元素的最小描述并结合条件概率的概念,将经典多粒度粗糙集进行拓展,提出了3种条件概率描述下的多粒度覆盖粗糙集模型;研究了模型的一些基本性质,指出它们是一些已有多粒度覆盖粗糙集模型的泛化形式;最后探讨了几种模型之间的关系。

关键词: 粗糙集,多粒度,条件概率,覆盖,最小描述

Abstract: This paper proposed three kinds of covering-based multi-granulation rough sets by employing the conditional probability between target concept and the minimal descriptions of elements.Some basic properties of the models were investigated and their relationships with some existed covering-based multi-granulation rough sets were disclosed.We found that the proposed models are extensions of existed covering-based multi-granulation rough sets.Finally,the relationships between the three models were explored.

Key words: Rough sets,Multi-granulation,Probability,Covering,Minimal description

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