• DocumentCode
    3410550
  • Title

    Weighted degree of grey incidence based on optimization entropy

  • Author

    Pei, Ling-ling ; Chen, Wan-ming ; Cui, Jun-fu ; Zhuang, Guo-bo

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    340
  • Lastpage
    343
  • Abstract
    Based on the basic assumption of stable relationship among different factors in the grey system theory and grey sequence entropy, it presents a new method for the first time how to determine the weight of incidence coefficient in grey incidence analysis. By defining the distributing density value of weighted grey incidence coefficient, this paper composes a grey sequence in order to establish an optimization model of incidence coefficient weight. Moreover, this paper validates the validity and practicability of this method with examples. The results indicate that this method can reflect the significance of incidence coefficient at different time point, thereby the fluctuation of incidence coefficient can be controlled effectively, and the problem that the whole grey incidence sequence is controlled by partial point incidence coefficient can be solved.
  • Keywords
    entropy; grey systems; optimisation; grey incidence analysis; grey incidence sequence; grey sequence entropy; grey system theory; incidence coefficient weight; optimization entropy; optimization model; point incidence coefficient; weighted degree; weighted grey incidence coefficient; Arithmetic; Control systems; Cost accounting; Distributed computing; Entropy; Fluctuations; Intelligent systems; Optimization methods;
  • 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.2009.5408294
  • Filename
    5408294