Title :
An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories
Author :
Guohua, Hu ; Yuemei, Shi
Author_Institution :
Dept. of Comput., Xinzhou Teachers Univ., Xinzhou
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.
Keywords :
data reduction; fuzzy set theory; rough set theory; attribute reduction method; data redundancy reduction; fuzzy-rough sets theories; Computer science; Computer science education; Educational technology; Explosives; Fuzzy sets; Paper technology; Set theory; Uncertainty; Attribute Reduction; Fuzzy-Rough Sets; RSAR;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.721
