• DocumentCode
    3100599
  • Title

    Study on Evaluation Index System of Degree Thesis Based on BPD and AHM

  • Author

    Huizhe, Yan ; Lihua, Ma

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    1064
  • Lastpage
    1067
  • Abstract
    The evaluation of degree thesis is a necessary problem. And there are many uncertainly information in the procedure of thesis writing. The evaluation indexes of thesis are often put up by qualitative analysis method. Although the index system is operated easily, there were some questions for unscientific. The evaluation index system is determined mostly to qualitative analysis in evaluation thesis practice. In this paper, a new evaluation index system is proposed based on business process diagnosis theory and the characteristics of degree thesis. The main task is done by business process diagnosis methods which are a powerful tool for the quantitative research of qualitative problem. First, business process diagnosis of evaluation problem is analyzed, and an index set of evaluation target is established. Second, the step level structure is established by using the graph theory. Third, index weight is worked out with AHM method. Final, evaluation index system of degree thesis based on business process diagnosis and AHM weight is put forward.
  • Keywords
    business data processing; graph theory; indexing; uncertain systems; business process diagnosis theory; degree thesis; evaluation index system; graph theory; qualitative analysis method; thesis writing; uncertainly information; Data analysis; Education; Educational institutions; Engineering management; Failure analysis; Graph theory; Graphics; Risk analysis; Testing; Writing; AHM; BPD; degree thesis; evaluation index systemt; graph theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810676
  • Filename
    4810676