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 :
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