An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories

Abstract

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.