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山东大学学报(理学版) ›› 2017, Vol. 52 ›› Issue (7): 13-21.doi: 10.6040/j.issn.1671-9352.4.2017.077

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基于粒辨识属性矩阵的动态形式背景约简更新方法

黄桃林1,牛娇娇2,3,李金海2,3*   

  1. 1. 昆明理工大学体育部, 云南 昆明 650500;2.昆明理工大学数据科学研究中心, 云南 昆明 650500;3. 昆明理工大学理学院, 云南 昆明 650500
  • 收稿日期:2017-03-06 出版日期:2017-07-20 发布日期:2017-07-07
  • 通讯作者: 李金海(1984— ),男,博士,副教授,研究方向为粗糙集、概念格与粒计算.E-mail:jhlixjtu@163.com E-mail:njjiao_92@163.com
  • 作者简介:黄桃林(1970— ),女,实验师,研究方向为数据管理与分析.E-mail:njjiao_92@163.com
  • 基金资助:
    国家自然科学基金资助项目(61562050,61573173);海南热带海洋学院青年科研基金(QYQN201515)

Reduct updating method in a dynamic formal context based on granular discernibility attribute matrix

HUANG Tao-lin1, NIU Jiao-jiao2,3, LI Jin-hai2,3*   

  1. 1. Department of Sports, Kunming University of Science and Technology, Kunming 650500, Yunnan, China;
    2. Data Science Research Center, Kunming University of Science and Technology, Kunming 650500, Yunnan, China;
    3. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2017-03-06 Online:2017-07-20 Published:2017-07-07

摘要: 知识约简是知识发现中的一项重要任务,它的研究使得在数据中寻找蕴含规则更加简易,但现实中的信息往往都不是一成不变的,随着时间的推移需要不断地对原有信息进行适当更新。本文主要从粒辨识属性矩阵出发,讨论当所研究的形式背景处于更新状态时,如何由原有的粒协调集更新得到新的粒协调集,并讨论了粒辨识属性矩阵的相关性质。

关键词: 概念格, 粒约简, 约简更新, 动态形式背景

Abstract: Knowledge reduction is an important researchdirection in knowledge discovery. Its research can make rule acquisition easier from data. However, in the real-world, information updating happens as time goes by. This paper mainly discusses how to get the new granular consistent set when the formal context in an updating state from the perspective of granular discernibility matrix. Finally, some properties about granular discernibility attribute matrix are discussed.

Key words: reduct updating, dynamic formal context, concept lattice, granular reduct

中图分类号: 

  • TP18
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