TY  - JOUR
N2  - 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.
A1  - Vasant, P.
A1  - Elamvazuthi, I.
A1  - Webb, J.F.
Y1  - 2010///
N1  - cited By 45
EP  - 367
SP  - 349
TI  - Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
SN  - 17939623
VL  - 1
PB  - World Scientific Publishing Co. Pte Ltd
JF  - International Journal of Modeling, Simulation, and Scientific Computing
IS  - 3
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052064507&doi=10.1142%2fS1793962310000225&partnerID=40&md5=9b69f283ba4ff9d17e22d11b0d5edc67
ID  - scholars1331
KW  - Curve fitting; Decision making; Linear programming; Profitability
KW  -  Fuzzy linear programming; Fuzzy optimization; Fuzzy techniques; Industrial production; Objective functions; Performance measure; Uncertain resource; uncertain technological coefficients
KW  -  Membership functions
AV  - none
ER  -