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An Attribute Reduction Method Based on Fuzzy-Rough Sets Theories

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2 Author(s)
Hu Guohua ; Dept. of Comput., Xinzhou Teachers Univ., Xinzhou ; Shi Yuemei

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.

Published in:
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on  (Volume:3 )

Date of Conference: 7-8 March 2009

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