DocumentCode
2541084
Title
A two-step data preprocessing algorithm based on grey-fuzzy rough set
Author
Wu, Lichun ; Zhao, Jiaqiang ; Zhang, Li ; Yang, Yue
Author_Institution
Liaoning Univ., Shenyang, China
fYear
2012
fDate
29-31 May 2012
Firstpage
274
Lastpage
277
Abstract
Due to the phenomenon that the information can be lost in the process of data discretization of traditional rough set, the paper introduces the fuzzy set, and presents a two-step data preprocessing algorithm based on the grey correlative degree and fuzzy rough set. Firstly, this algorithm filters the attributes with the grey correlative degree. Secondly, the fuzzy distinguish matrix is used to reduce the rest attributes set. Finally, the algorithm is demonstrated effectively through the simulation experiment.
Keywords
data analysis; fuzzy set theory; rough set theory; fuzzy distinguish matrix; grey correlative degree; grey-fuzzy rough set; two-step data preprocessing algorithm; Algorithm design and analysis; Approximation methods; Computational modeling; Computers; Correlation; Data preprocessing; Instruments; Fuzzy Discernibility Matrix; Fuzzy Set; Grey Correlative Degree; Rough Set;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6233727
Filename
6233727
Link To Document