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

Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
type: AcademicArticle
type: Article
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.
date: 2010
volume: 1
issue: 3
is part of: International Journal of Modeling, Simulation, and Scientific Computing
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

World Scientific Publishing Co. Pte Ltd
type: Organization

International Journal of Modeling, Simulation, and Scientific Computing
type: Collection
issn: 17939623

J.F. Webb
type: Person
given name: J.F.
family name: Webb

P. Vasant
type: Person
given name: P.
family name: Vasant

I. Elamvazuthi
type: Person
given name: I.
family name: Elamvazuthi

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