• DocumentCode
    2809537
  • Title

    Characteristics-AHP model to determining attribute weights based on topsis

  • Author

    Gang, Li ; Xiang-Min, Huang ; Hui-Juan, Han

  • Author_Institution
    Dept. of Math. & Inf. Sci., Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The Characteristics-Analytic Hierarch Process model to determining attribute weights based on Topsis is built.This model makes fully use of Analytic Hierarch Process that has hierarchical structure and clear thinking, and uses AHP inversion methods to determine the weights of decision maker´s preference. The model based on Topsis is used to selecting the characteristics group of AHP, which defines the distinctive characteristics of individual decision-making unit through the close degree and makes the determining the characteristics group has full objective basis. Thus, the subjectivity in this process has been avoided and the contradictions by more multi-index attribute to be overcome. Empirical practice and simulation analysis on evaluation of student learning show the advantage and applicability of this model on relative fields.
  • Keywords
    decision theory; AHP inversion methods; attribute weights determination; characteristics analytic hierarch process model; student learning; topsis; Equations; Mathematical model; Matrix converters; Characteristics-Analytic Hierarch Process(CAHP); Topsis; characteristics group; mathematical model; weights of attributes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619045
  • Filename
    5619045