• DocumentCode
    2540433
  • Title

    Apply Grey System Method in the Influence Factors Weighting Analysis in Kindergarten

  • Author

    Lee, Yuan-Piao ; Shih, Chu-Sung ; Ding, Huang-Hong ; Guan, Yi-Ping ; Chen, Tien-Yu ; Wen, Kun-Li

  • Author_Institution
    Dept. of Electr. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    465
  • Lastpage
    468
  • Abstract
    Early childhood education began in the 18 century, and was done mostly charity. Society has changed over the 30 years and now both parents need to work. Because of this, early childhood education is much more important. It is also more difficult to pick a good school because now parent have more choices, especially because there are schools all over Taiwan. In past research, we cannot find a clear method that helped parents choose quality school. Hence, in this paper, we use the grey relational grade (GRG) and GM(0,N) as our mathematics models. The main purpose is to rank the influence factor for kindergarten and give suggestions to parents on the best way to pick a quality school. Based on the practical analysis, this study has made it possible to get access to the sequence and value of each variable. In addition, the result of this study is compatible with thoughts of individuals and parents may take the study result for the reference as making choices of kindergarten.
  • Keywords
    education; educational institutions; grey systems; Taiwan; early childhood education; grey relational grade; grey system; influence factors weighting analysis; kindergarten; mathematics model; practical analysis; quality school; Educational institutions; Electrical engineering; Electronic mail; Government; Mathematical model; Early childhood education; GM(0; Grey relational grade; Influence factor; N); Rank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.122
  • Filename
    5715470