• DocumentCode
    3288489
  • Title

    Application of RS in Assessing Mobile Learning Terminals and its Criteria

  • Author

    Qu Zhiming ; Wu Zhifeng

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    The mobile learning terminals are very important for the whole system which is composed of many related interaction aspects. Moreover, the uncertainty plays very important role in assessing mobile learning terminalspsila normal operation. Using rough set theory (RS), the uncertain information is mined and much more information about mobile learning terminals is understood in detail. In the process of assessing mobile learning terminals and their roles, the upper and lower approximations are used to define by which the better criteria are used. is applied to acquire more detailed mobile learning terminals information while compared with method. Through case study, it is concluded that the classification is judged with different mobile learning terminals.
  • Keywords
    computer aided instruction; rough set theory; mobile learning terminals information; rough set theory; Circuits; Civil engineering; Computer aided instruction; Distance learning; Hardware; Inspection; Set theory; Software performance; Software standards; Uncertainty; K-W method; RS; assessing criteria; mobile learning terminals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3614-9
  • Type

    conf

  • DOI
    10.1109/PACCS.2009.19
  • Filename
    5232300