• DocumentCode
    1725895
  • Title

    Entropy measure of interval grey sequence and its application

  • Author

    Liao Rui-Quan ; Liu De-ji ; Lu Yan-feng ; Xiao Xin-ping

  • Author_Institution
    Coll. of Pet. Eng., Yangtzeu Univ., Jingzhou, China
  • fYear
    2011
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    A metric formula and its application in decision-making is proposed for the uncertainty measurement of grey information theory. Because of the limited interval grey number sequence, the grey sequence entropy measurement is different from Shannon probability entropy. This paper studies the measurement formula with grey number and its several properties, such as invariance, applicable conditions, grey entropy of the union and intersection of two grey numbers. Finally, an example is given with an algorithm to illustrate how this new method can be applied and show the effective.
  • Keywords
    decision making; entropy; Shannon probability entropy; decision making; entropy measure; grey information theory; grey number sequence; interval grey sequence; Gold; Kernel; entropy measurement; grey system; greyness degree; interval grey number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044036
  • Filename
    6044036