• DocumentCode
    2758638
  • Title

    Research on Dynamic Multiple Attribute Decision-Making with Interval Numbers

  • Author

    Chu, Ping ; Dai, Wenzhan

  • Author_Institution
    Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    6979
  • Lastpage
    6982
  • Abstract
    First, a multiple objective programming model is presented based on dynamic multiple attribute decision-making with interval numbers, and then the attribute weight vectors and the integrated values are computed in order to judge weather there is dominant alternative. Finally, the method is applied to a practical example and the results show that the method is rational and effective
  • Keywords
    decision making; decision theory; dynamic programming; operations research; vectors; attribute weight vector computing; dynamic multiple attribute decision making; integrated value computing; interval numbers; multiple objective programming; Automatic programming; Automation; Decision making; Dynamic programming; Educational institutions; Electronic mail; Intelligent control; dominant alternative; interval numbers; multi-objective programming; multiple attribute decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714438
  • Filename
    1714438