• DocumentCode
    3408944
  • Title

    Study on the identification model of poor college students based on the grey clustering method

  • Author

    Hongqi, Liu ; Ying, Yuan ; Qingchun, Wu

  • Author_Institution
    Center for Student Assistance Adm., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    728
  • Lastpage
    734
  • Abstract
    Based on the study of the current identification methods and the factors that influence the difficult degree of the students, the paper analyzed the current methods of grade assessment and identification about the students from economically disadvantaged families in domestic college and their advantages and disadvantages, advanced the systems of the grade assessment and identification about the students from economically disadvantaged families. Considering the illegibility of the index in the grade assessment systems, the paper proposes the grey clustering methods to make quantificational judge, introduced the process of the grey clustering methods and the applications in the practical case, expecting that it can afford references for the study and practice of the identification about the students from economically disadvantaged families in our country.
  • Keywords
    economics; educational administrative data processing; grey systems; domestic college; grade assessment system; grey clustering; identification model; poor college student; Clustering methods; Educational institutions; Equal opportunities; Finance; Information analysis; Intelligent systems; Joining processes; National security; Optimization methods; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408217
  • Filename
    5408217