TY  - CONF
CY  - Kuala Lumpur
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449085450&doi=10.1109%2fCITISIA.2009.5224212&partnerID=40&md5=e0856b0ca59895e46d3004411d9789a2
AV  - none
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.
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
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
SP  - 209
ID  - scholars673
SN  - 9781424428878
TI  - Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
Y1  - 2009///
EP  - 213
A1  - Elamvazuthi, I.
A1  - Aftab, M.K.
A1  - Andreeski, C.J.
A1  - Vasant, P.
ER  -