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
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;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.173