• DocumentCode
    2739401
  • Title

    New Information Grey Multi-variable Optimizating Model NMGM(1,n,q,r) of Social Security Level

  • Author

    Luo, Youxin ; Liu, Qiyuan

  • Author_Institution
    Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    The social security level is an important factor during the process of the reformation of social security system. Whether it is fit for the level of the economic development has a crucial impact on the development of the social economy and the stabilization and solidification of our country. Higher or lower social security level influences the development of economics. Based on the Grey system and the new information principle, taking the mean relative error as objective function and taking the modified nth component of each variable as initial value of response function and finding the optimum background value coefficient q and modified value of initial value of response function by optimizing, new information multi-variable optimization Grey model NMGM (1, n, q, r) of the social security level was put forward which is used to check validity with example. Calculation results show that this method is very effective to data processing which has high precision and easy to use. The method has wide applications in social security level fields and other various economic fields.
  • Keywords
    economics; grey systems; optimisation; security of data; Grey system; data processing; economic development; information grey multivariable optimization model; mean relative error; objective function; social economy; social security system; Art; Data processing; Data security; Differential equations; Economic forecasting; Educational institutions; Information security; Mechanical engineering; Predictive models; Regression analysis; Data Processing; Grey system; NMGM(1; New Information Principle; Social Security Level; n; q; r) Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3907-2
  • Type

    conf

  • DOI
    10.1109/EEEE.2009.14
  • Filename
    5358522