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《山东大学学报(理学版)》 ›› 2020, Vol. 55 ›› Issue (5): 46-54.doi: 10.6040/j.issn.1671-9352.c.2020.003

• • 上一篇    

多源形式背景中的粒结构

李双伶,岳晓威,秦克云*   

  1. 西南交通大学数学学院, 四川 成都 611756
  • 发布日期:2020-05-06
  • 作者简介:李双伶(1996— ),女,硕士研究生,研究方向为概念格与粒计算. E-mail:lishuangling0@163.com*通信作者简介:秦克云(1962— ),男,教授,博士生导师,研究方向为概念格与粗糙集. E-mail:keyunqin@263.net
  • 基金资助:
    国家自然科学基金资助项目(61976130)

Granular structure in multi-source formal contexts

LI Shuang-ling, YUE Xiao-wei, QIN Ke-yun   

  1. School of Mathematics, Southwest Jiaotong University, Chengdu 611756, Sichuan, China
  • Published:2020-05-06

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摘要： 多源数据的知识发现是大数据分析领域的重要研究问题。借助剩余格理论研究多源形式背景的融合形式背景中概念的粒结构。针对多源同域形式背景融合成的L模糊形式背景,刻画了融合形式背景中的可变阈值概念与单源形式背景中的概念之间的关系;给出了融合形式背景的粒约简计算方法并讨论了融合形式背景的粒约简与单源形式背景的粒约简之间的关系。

关键词: 多源形式背景, 模糊形式背景, 可变阈值概念格, 粒约简

Abstract: Knowledge discovery of multi-source data is an important problem that needs to be solved urgently in the field of big data analysis. Based on the theory of residuated lattices, the granular structure of concepts in fusion L fuzzy formal context of multi-source formal contexts is investigated. The relationships between the variable threshold concepts in the fusion L fuzzy formal context and the concepts in the single source formal contexts are surveyed. The granular reduction method for the fusion L fuzzy formal context is presented and the relationship between the granular reduction of this fuzzy formal context and that of single-source formal contexts are investigated.

Key words: multi-source formal context, fuzzy concept context, variable threshold concept lattices, granular reduction

中图分类号: 

  • TP18
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