一种基于模糊粗糙集理论的属性约简方法

2009 First International Workshop on Education Technology and Computer Science Pub Date : 2009-03-07 DOI:10.1109/ETCS.2009.721

Hu Guohua, Shi Yuemei

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引用次数: 4

摘要

由于电子存储信息的爆炸性增长，必须开发自动方法来帮助用户有效地维护和使用这些丰富的信息。本文提出了一种基于模糊和粗糙集理论的综合应用的新方法，以大大减少数据冗余。实验结果表明，模糊粗糙约简比传统的基于粗糙集的方法更有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories

Due to the explosive growth of electronically stored information,automatic methods must be developed to aid users in maintaining and using this abundance of information effectively.This paper presents a novel approach,based on an integrated use of fuzzy and rough set theories,to greatly reduce data redundancy. Experimental results show that fuzzy-rough reduction is more powerful than the conventional rough set-based approach.

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2009 First International Workshop on Education Technology and Computer Science

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