• DocumentCode
    2381391
  • Title

    Advance in grey incidence analysis modelling

  • Author

    Liu, Sifeng ; Cai, Hua ; Cao, Ying ; Yang, Yingjie

  • Author_Institution
    Inst. for Grey Syst. Studies, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1886
  • Lastpage
    1890
  • Abstract
    A systematic carding on the research of grey incidence analysis modeling has been made in this paper. The grey incidence analysis models developed from the models based on incidence coefficients of each point in the sequences in early days to the generalized grey incidence analysis models based on integral or overall perspective. It evolved from the grey incidence analysis models which measure similarity based on nearness into the models which consider similarity and nearness respectively. The objects of the research advanced from the analysis of relationship among curves to that among curved surfaces, and further to the analysis of relationship in three-dimensional space and even the relationship among super surfaces in n-dimensional space. The problems remained to be studied in this field are clarified too. Several research approaches of grey incidence analysis modeling are clearly revealed.
  • Keywords
    grey systems; curved surfaces; generalized grey incidence analysis models; grey incidence analysis modelling; incidence coefficients; measure similarity; n-dimensional space; super surfaces; systematic carding; three-dimensional space; Analytical models; Biological system modeling; Computational modeling; Correlation; Educational institutions; Systematics; absolute degree of grey incidence; incidence coefficient; n-dimensional incidence space; nearness; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083947
  • Filename
    6083947