• DocumentCode
    3411548
  • Title

    Grey incidence analysis based on coefficient of determination and its economic application with the data of Central Henan Urban Agglomeration

  • Author

    Jun-fu, Cui ; Ren-jie, Zhou ; Rui, Liu

  • Author_Institution
    Sch. of Econ., Renmin Univ. of China, Beijing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    32
  • Lastpage
    36
  • Abstract
    Grey incidence analysis is the basis of grey models, grey decision-making and grey control which concentrates on the degree of grey incidence. Grey incidence analysis compares with geometric patterns of system statistical series to analyze the degree of grey incidence of system factors. The more similar the curves are, the closer the developmental trend of each factor, then the greater the degree of grey incidence. This paper constructs a new model of calculating the degree of grey incidence on the base of this fundamental idea. First, this paper deals with the original sequence by accumulating generation and specific gravity generation. Then, with the principle of the coefficient of determination, it undertakes two ways to calculate the degree of grey incidence. Finally, we use the data of Central Henan urban agglomeration to show the method is practical and reliable.
  • Keywords
    decision making; economics; grey systems; statistical analysis; Central Henan urban agglomeration; coefficient of determination; geometric patterns; grey control; grey decision-making; grey incidence analysis; grey models; specific gravity generation; system statistical series; Decision making; Gravity; Image analysis; Intelligent systems; Investments; Pattern analysis; Production; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408354
  • Filename
    5408354