• 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