• DocumentCode
    3024890
  • Title

    Evaluation Research of Excellent Courses Based on Rough Set and Fuzzy AHP Method in Colleges

  • Author

    Li, Quan

  • Author_Institution
    Modern Technol. Center of Educ., WenZhou Univ., Wenzhou, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    394
  • Lastpage
    397
  • Abstract
    Currently, in the evaluation of excellent courses in colleges in our country has already formatted a specialized of nation excellent courses evaluation system. From 2003 the nation evaluation system of excellent course started beginning, with the gradually development and abundance also promote the construction of excellent courses in colleges. Therefore, this paper is set from the current excellent course evaluation system, with the combination of rough set and fuzzy AHP method to make a comprehensive evaluation to the excellent courses of Wenzhou University. This paper through the process of establish the model of rough set-fuzzy analytic hierarchy process (FAHP), the main idea is to pass the weight determination method of rough set theory to centralize the each index weight of one class, also take the foundation which through the combination of subjective weight and objective weight to carry on fuzzy comprehensive evaluation analysis. Pass the establishment of the excellent courses model in colleges to put forward a new kind of evaluation method.
  • Keywords
    educational courses; fuzzy set theory; rough set theory; excellent college course evaluation; excellent course model; fuzzy analytic hierarchy process; fuzzy comprehensive evaluation analysis; rough set theory; Cost accounting; Databases; Education; Educational institutions; Educational technology; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Mathematics; Set theory; Excellent courses; FAHP; comprehensive evaluation; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.52
  • Filename
    5207732