• DocumentCode
    447315
  • Title

    A new computation model of Grey incidence degree met four axioms and its application in OFR

  • Author

    Yudong, Zai ; Bin, Liu ; Sifeng, Liu

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., China
  • Volume
    1
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    611
  • Abstract
    The basic principle of Grey incidence analysis is to judge compactness of sequences according to the extent of geometry similitude between data curves. By Grey incidence analysis, we can find the osculation extent between system behaviors data. Since Prof Deng established this analysis method in 1980´s, some computation methods are developed, but according to the four Grey incidence axioms developed by Prof Deng, there is all more or less unseemliness in these computation models. Based on the theories of Grey incidence theory, in this paper we summarize firstly several representative Grey incidence computation models of present. Then, we point out their shortcomings respectively and review them simply. Furthermore, seeing into the meaning of Grey incidence axioms, we establish a new computation model of Grey incidence degree - Integrated Model, which considers the absolute differences and relative differences of data sequences and gets over the shortcomings of present models. Lastly, we prove this computation model to be scientific and to satisfy the four Grey Incidence Axioms, and then with this model we analyze the outsource of firm´s resource.
  • Keywords
    grey systems; outsourcing; system theory; axioms; data sequence; firm resource outsourcing; grey incidence degree; grey system; Computational modeling; Decision making; Economic forecasting; Educational institutions; Information analysis; Information geometry; Information management; Mathematics; Outsourcing; Computation model; Grey incidence degree; Grey system; OFR(Outsourcing of Firm’s Resource);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571214
  • Filename
    1571214