Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:Fuzzy rough attribute reduction with application to web categorization
Authors: Richard Jensen ; Qiang Shen
Date:Jan 2004
Publication Title:Fuzzy Sets and Systems
Publication Type:Journal Article
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 e+ectively. In particular,the sheer volume of redundancy present must be dealt with,leaving only the information-rich data to be processed. This paper presents a novel approach,based on an integrated use of fuzzy and rough set theories,to greatly reduce this data redundancy. Formal concepts of fuzzy rough attribute reduction are introduced and illustrated with a simple example. The work is applied to the problem of web categorization,considerably reducing dimensionality with minimal loss of information. Experimental results show that fuzzy rough reduction is more powerful than the conventional rough set-based approach. Classi2ers that use a lower dimensional set of attributes which are retained by fuzzy rough reduction outperform those that employ more attributes returned by the existing crisp rough reduction method.
2004 by The University of Edinburgh. All Rights Reserved
Links To Paper
No links available
Bibtex format
author = { Richard Jensen and Qiang Shen },
title = {Fuzzy rough attribute reduction with application to web categorization},
journal = {Fuzzy Sets and Systems},
year = 2004,
month = {Jan},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh