TY - CONF SP - 209 AV - none SN - 9781424428878 N2 - 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 theoptimization of the profit function. © 2009 IEEE. Y1 - 2009/// KW - Decision makers; Decision making process; Fuzzy optimization; Fuzzy techniques; Industrial production; Objective functions; Oil companies; Profit function; S-curve; Uncertain resource KW - Curve fitting; Decision making; Industrial applications; Intelligent systems; Optimization; Profitability KW - Membership functions TI - Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients A1 - Elamvazuthi, I. A1 - Aftab, M.K. A1 - Andreeski, C.J. A1 - Vasant, P. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449085450&doi=10.1109%2fCITISIA.2009.5224212&partnerID=40&md5=e0856b0ca59895e46d3004411d9789a2 N1 - cited By 1; Conference of 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 ; Conference Date: 25 July 2009 Through 26 July 2009; Conference Code:78109 ID - scholars673 EP - 213 CY - Kuala Lumpur ER -