• DocumentCode
    3160117
  • Title

    Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients

  • Author

    Elamvazuthi, I. ; Aftab, M.K. ; Andreeski, C.J. ; Vasant, P.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Technol. Petronas, Tronoh, Malaysia
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    209
  • Lastpage
    213
  • Abstract
    In this paper, a new fuzzy optimization based methodology called as a modified S-curve membership function has been utilized in an industrial production problems of oil company. The major contribution of this paper is on the optimization of profit function with respect to uncertain resource variables and technological coefficients. Three cases have been thoroughly studied in this paper. Comparative results have been successfully obtained for these three cases. This information will be very important for the decision makers in implementing their decision under vague environment. The decision maker has major advantages on the strategic and flexible decision making process via using the nmodified S-curve membership function in the optimization of the profit function.
  • Keywords
    decision making; fuzzy set theory; optimisation; petroleum industry; profitability; decision making process; fuzzy optimization based methodology; fuzzy technique; industrial production problems; modified S-curve membership function; objective function optimization; oil company; profit function optimization; technological coefficients; uncertain resource variables; Decision making; Fuzzy systems; Gaussian distribution; Intelligent systems; Linear programming; Linear systems; Mathematical programming; Optimized production technology; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
  • Conference_Location
    Monash
  • Print_ISBN
    978-1-4244-2886-1
  • Electronic_ISBN
    978-1-4244-2887-8
  • Type

    conf

  • DOI
    10.1109/CITISIA.2009.5224212
  • Filename
    5224212