The repository administrator has not yet configured an RDF license.
Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
In this paper, a new fuzzy optimization based on methodology utilizing a modified s-curve membership function has been applied to an industrial production problem in an oil company. The major contribution of this paper is the optimization of a 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 piece of information will be very important for the decision makers in implementing their decisions in a vague environment. It will be shown that there are many advantages of using the modified s-curve membership to optimize the profit function used by the decision maker; in particular strategic and flexible decisions are facilitated. © 2010 World Scientific Publishing Company.
International Journal of Modeling, Simulation, and Scientific Computing
HTML Summary of #1331 Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients