DocumentCode
680987
Title
A weighted fuzzy rough sets based approach for rule extraction
Author
Hsiao, Chih-Ching ; Chuang, Chen-Chia ; Jeng, Jin-Tsong ; Su, Shun-Feng
Author_Institution
Department of Information Technology, Kao Yuan University, Kaohsiung, Taiwan
fYear
2013
fDate
14-17 Sept. 2013
Firstpage
104
Lastpage
109
Abstract
Rough sets approach of attributes reduction can be used as a purely structural method for reducing dimensionality using information contained within the dataset and preserving the meaning of the features. In this paper, the weighted interval-value fuzzy-rough attribute reduction algorithm is proposed for interval-value data. It will introduce IT2 into hybrid fuzzy-rough QuickReduct algorithm to deal with interval-value data. The “weighted” concept is not only enhancing prior knowledge, and also reduces unknown information effect.
Keywords
Approximation algorithms; Approximation methods; Educational institutions; Fuzzy sets; Rough sets; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2013 Proceedings of
Conference_Location
Nagoya, Japan
Type
conf
Filename
6736152
Link To Document