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

Vasant, P. and Elamvazuthi, I. and Webb, J.F. (2010) Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients. International Journal of Modeling, Simulation, and Scientific Computing, 1 (3). pp. 349-367. ISSN 17939623

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Abstract

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.

Item Type: Article
Additional Information: cited By 45
Uncontrolled Keywords: Curve fitting; Decision making; Linear programming; Profitability, Fuzzy linear programming; Fuzzy optimization; Fuzzy techniques; Industrial production; Objective functions; Performance measure; Uncertain resource; uncertain technological coefficients, Membership functions
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1331

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