• DocumentCode
    2243737
  • Title

    Research on index weight based on improved Grey Relational Analysis

  • Author

    Yang, Mei ; Deng, Mei-hong ; Jia, Rong-yan ; Liu, Yue

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    1967
  • Lastpage
    1970
  • Abstract
    Grey Relational Analysis is an method of analysis and calculate the relational degree of evaluated object, which can characterize the relational degree between object with viral object. Based on the traditional Grey Relational Analysis method, an improved method of accounting Grey relational Analysis coefficient and Grey Relational Analysis degree is introduced. Through calculating relational degree of index-object, can obtain the relational matrix of index. It can characterize the relational degree of index, so as to obtain the index weight.
  • Keywords
    economics; grey systems; matrix algebra; statistical analysis; grey relational analysis; grey relational analysis coefficient; grey relational analysis degree; index weight; index-object relational degree; relational matrix; Biological system modeling; Cybernetics; Economics; Indexes; Machine learning; Presses; Shape; Grey comprehensive evaluation; Grey relational analysis; Relational degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580518
  • Filename
    5580518