DocumentCode :
3160117
Title :
Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
Author :
Elamvazuthi, I. ; Aftab, M.K. ; Andreeski, C.J. ; Vasant, P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Technol. Petronas, Tronoh, Malaysia
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
209
Lastpage :
213
Abstract :
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 the optimization of the profit function.
Keywords :
decision making; fuzzy set theory; optimisation; petroleum industry; profitability; decision making process; fuzzy optimization based methodology; fuzzy technique; industrial production problems; modified S-curve membership function; objective function optimization; oil company; profit function optimization; technological coefficients; uncertain resource variables; Decision making; Fuzzy systems; Gaussian distribution; Intelligent systems; Linear programming; Linear systems; Mathematical programming; Optimized production technology; Stochastic processes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
Conference_Location :
Monash
Print_ISBN :
978-1-4244-2886-1
Electronic_ISBN :
978-1-4244-2887-8
Type :
conf
DOI :
10.1109/CITISIA.2009.5224212
Filename :
5224212
Link To Document :
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