基于形式背景的属性转移与知识发现

计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 117-119.

基于形式背景的属性转移与知识发现

郑书富,余高锋

三明学院信息工程学院福建三明365004

出版日期:2018-06-20 发布日期:2018-08-03
作者简介:郑书富(1971－),男,硕士,副教授,主要研究方向为粗系统理论与应用研究,E-mail:smxyzsf@126.com;余高锋(1971－),男,博士,讲师,主要研究方向为决策分析和博弈论等。
基金资助:
福建省中青年教师教育科研项目(JA15461),三明学院科技资助项目(B0702)资助

Attribute Transfer and Knowledge Discovery Based on Formal Context

ZHENG Shu-fu,YU Gao-feng

School of Information,Engineering San Ming University,Sanming,Fujian 365004,China

Online:2018-06-20 Published:2018-08-03

摘要/Abstract

摘要： 概念格理论是一种有效的知识表示与知识发现工具,是知识表示、知识发现和知识获取的基础。利用形式背景信息熵与属性的重要性理论,讨论形式背景的属性知识转移的特点,得到了基于形式背景的属性转移原理,给出形式背景的知识发现与应用。

关键词: 概念格, 信息熵, 形式背景, 知识发现, 属性转移

Abstract: The theory of concept lattice is an effective tool of knowledge representation and knowledge discovery,and is the basis of knowledge representation,knowledge discovery and knowledge acquisition.Based on the formal context information entropy and the importance of attribute theory,this paper discussed the characteristics of knowledge transfer of formal context attributes,obtained the attribute transfer principle based on formal context,and gave the knowledge discovery and application of formal context.

Key words: Attribute transfer, Concept lattice, Formal context, Information entropy, Knowledge discovery

中图分类号:

TP181

郑书富,余高锋. 基于形式背景的属性转移与知识发现[J]. 计算机科学, 2018, 45(6A): 117-119. https://doi.org/

ZHENG Shu-fu,YU Gao-feng. Attribute Transfer and Knowledge Discovery Based on Formal Context[J]. Computer Science, 2018, 45(6A): 117-119. https://doi.org/

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