• DocumentCode
    1724501
  • Title

    Cost-effectiveness evaluation of IHEs based on grey relation analysis with weights by DEA Model

  • Author

    Sui Yin ; Li Gang ; Zhang Xin-jing

  • Author_Institution
    Dept. of Open Teaching, Anyang Univ. of Radio & Telev., Anyang, China
  • fYear
    2011
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    The Grey Relation Analysis (GRA) with weight is presented in this paper. Specifically, the inhomogeneous weights-making model based on Data Envelopment Analysis (DEA) is introduced, which can overcome the regret between subjective values and homogenization evaluation. Through the cost-effectiveness on input and output index analysis of Institution of Higher Educations (IHEs), the evaluation index system is built. Moreover, according to managerial benefit conducts in 8 similar undergraduate colleges, an empirical analysis based on the DEA-GRA model is studied, whose results show that this model method in the managerial benefit evaluation of higher school has many advantages, such as suitability. And the evaluation result is coincident to actual situation.
  • Keywords
    data envelopment analysis; further education; grey systems; DEA model; Institution of Higher Educations; cost-effectiveness evaluation; data envelopment analysis; evaluation index system; grey relation analysis; homogenization evaluation; inhomogeneous weights-making model; input index analysis; managerial benefit evaluation; output index analysis; subjective values; undergraduate colleges; Correlation; Educational institutions; Cost-effectiveness evaluation; data envelopment analysis(DEA); grey relation analysis(GRA); institution of higher educations(IHEs); weights-making model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6043983
  • Filename
    6043983