节点文献
基于粗糙集理论的属性约简算法的VB实现
Implementing Attribute Reduction Algorithm Based on Rough Set Theory Using VB
【摘要】 粗糙集理论成为近年来数据挖掘领域的研究热点,基于粗糙集理论的属性约简算法具有重要的研究意义,开发一套用于研究粗糙集理论属性约简算法的软件将是有效的辅助工具。论文首先对粗糙集理论基本概念及属性约简问题进行介绍,接着介绍该软件的设计和结构功能,举例说明该软件的应用,并提出该软件有待进一步扩展的功能。
【Abstract】 Rough set theory becomes a research hotspot in data mining area in recent years.The study of attribute reduction algorithm based on rough set theory is of significance.It is necessary to design a software system for attribute reduction algorithm as helpful research tool.In this article firstly the basic concepts of rough set theory and the problem of attribute reduction are introduced.Then design and structure of the software are described.An example is proposed to explain application of this software.Some functions which should be improved are put forward in the end.
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2005年23期
- 【分类号】TP311.1
- 【被引频次】4
- 【下载频次】351