• DocumentCode
    2238697
  • Title

    Research and Application of Fuzzy Multi Attribute Decision Method on Investing Enterprise

  • Author

    Zhao, Hualong

  • Author_Institution
    Dept. of Geogr., Dezhou Univ., Dezhou
  • Volume
    2
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    With the development of uncertain theory, fuzzy multi attribute decision method has been applicated in more and more areas, this paper applies fuzzy multi attribute decision method in the assessment of investing enterprise. In modern society, social economy has developed rapidly, the investor has more and more opportunities to invest. Because of the complexity and uncertainty of objective things and the fuzziness of manpsilas thinking, the investment always has certain risk, if the evaluation about investment target is inaccurate, which will cause blindness in investment, then the investment profit canpsilat take back, so the assessment method on investing enterprise is very important. Information entropy is a kind of quantity of the system uncertainty, this paper researches the method of fuzzy multi attribute decision method based on information entropy, uses information entropy to decide attribute weight, and applies it in the assessment of investing enterprise, the example shows that this method is effective.
  • Keywords
    decision theory; entropy; investment; decision theory research; fuzzy multi attribute decision method; information entropy; investing enterprise; social economy; uncertain theory; Blindness; Costs; Fuzzy systems; Geography; Information entropy; Information management; Investments; Seminars; Standardization; Uncertainty; fuzzy multi attribute decision method; information entropy; matrix standardization; uncertain theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.108
  • Filename
    5116484