DocumentCode
553005
Title
A new algorithm for attribute reduction
Author
Xiaoyu Chen ; Yanli Zhao
Author_Institution
Dept. of Comput. Sci. & Technol., Nanyang Inst. of Technol., Nanyang, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
326
Lastpage
329
Abstract
According to attribute reduction based on Rough Set theory, this paper put forward a new algorithm for attribute reduction based on degree of dependency. This algorithm, with less complication and high efficiency, can calculate all attribute reductions and cores. The experimental results show that this algorithm is high-level feasibility and effective.
Keywords
rough set theory; attribute reduction; degree of dependency; rough set theory; Algorithm design and analysis; Complexity theory; Computers; Educational institutions; Knowledge based systems; Presses; Set theory; Attribute reduction; Decision table; Degree of Dependency; Rough Set;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019485
Filename
6019485
Link To Document