• DocumentCode
    2913051
  • Title

    Study on the multi-attribute decision model of grey target based on interval numbers

  • Author

    Dang, Yaoguo ; Liu, Sifeng ; Song, Jie

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    744
  • Lastpage
    747
  • Abstract
    There exists uncertain in almost problems of our practices and the uncertain hold back decision-maker cannot accurately define indices values when they evaluate the system. For this problem, present decision-maker often defines an interval number to denote this index value, but none has studied the interval number decision model in grey target decision. In this paper, the distance of the interval number, m dimension interval number and their characteristics are defined firstly, and the distance of interval number generalizes the distance of real number is proved, then, the method to normalize the interval number is developed. Based on the above, the multi-attribute decision model of grey target based on interval number is derived, which extends the grey target decision model from real number sequence to interval number sequence and riches the grey theories in grey target decision. Last, the validity and practicability are illustrated with an example.
  • Keywords
    decision making; decision theory; grey systems; number theory; decision-making; grey target decision; interval number decision model; multiattribute decision model; real number sequence; Cities and towns; Decision making; Educational programs; Equations; Hamming distance; Intelligent systems; Technological innovation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443373
  • Filename
    4443373