• DocumentCode
    1821599
  • Title

    Building fuzzy random objective function for interval fuzzy goal programming

  • Author

    Nureize, A. ; Watada, J.

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    980
  • Lastpage
    984
  • Abstract
    Estimating the coefficients of objective functions in multi-objective model is sometimes difficult in real situations. Mathematical analysis of statistical data is used to determine the coefficients. In various cases, the statistical data may not contain only randomness, but also fuzziness, which should be treated properly. Thus, this paper employs fuzzy random regression model to approximate the coefficients values for objective functions of multi-objective model. The presented model consists of two stages; first, developing the objective functions by fuzzy random regression model and second, introducing an interval fuzzy goal programming model to solve the multi-objective problem. An experimental example is provided to illustrate the model.
  • Keywords
    estimation theory; fuzzy set theory; optimisation; random processes; regression analysis; coefficient estimation; fuzzy random objective function; fuzzy random regression model; interval fuzzy goal programming; mathematical analysis; multi-objective model; statistical data; Biological system modeling; Fuzzy sets; Mathematical model; Production; Programming profession; Random variables; Objective functions; coefficient; fuzzy random regression; interval fuzzy goal program;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674223
  • Filename
    5674223