DocumentCode
2199277
Title
Internet Addiction Diagnostic Decision-Making Based on Attribute Reduction of Rough Set Theories
Author
Dong, Shuxiang ; Jia, Guojun
Author_Institution
Shanxi Normal Univ., Linfen, China
Volume
2
fYear
2011
fDate
14-15 May 2011
Firstpage
376
Lastpage
380
Abstract
The method of attribute reduction based on rough set theory is applied to the internet addiction diagnostic decision-making to improve the comprehensive performance of the decision-making. This paper briefly introduces the basic concepts of rough set theory and the method of attribute reduction, on which analyses the application of internet addiction diagnostic decision-making. The mentioned method which is applied to the internet addiction diagnostic decision-making, and which greatly enhanced the ability of knowledge acquisition and decision-making, of finding extraordinary events and predicting the trend of future, provided scientific and reliable basises for medical diagnostic decision-making.
Keywords
Internet; decision making; knowledge acquisition; rough set theory; attribute reduction; decision making; internet addiction diagnostic decision making; knowledge acquisition; medical diagnostic decision making; rough set theory; Algorithm design and analysis; Approximation methods; Arrays; Computer science; Decision making; Internet; Set theory; Attribute reduction; Decision-making rule; Internet addiction diagnostic; Rough set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-61284-347-6
Type
conf
DOI
10.1109/NCIS.2011.173
Filename
5948856
Link To Document