资源变量和工艺系数不确定条件下目标函数优化的模糊技术

P. Vasant, I. Elamvazuthi, J. F. Webb
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引用次数: 24

摘要

本文将一种基于模糊优化的改进s曲线隶属函数方法应用于某石油公司的工业生产问题。本文的主要贡献在于对不确定资源变量和技术系数下利润函数的优化。本文对三个案例进行了深入的研究。这三种情况都成功地得到了比较结果。这些信息对于决策者在模糊环境下实施决策是非常重要的。通过在利润函数的优化中使用未修正的s曲线隶属函数,决策者在战略性和柔性决策过程中具有很大的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
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.
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