A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem

被引：0

作者：

Masoud, Mahmoud ^{[1
,2
]}

Khalifa, H. A. ^{[3
,4
]}

Liu, Shi Qiang ^{[5
]}

Elhenawy, Mohammed ^{[6
]}

Wu, Peng ^{[5
]}

机构：

[1] Queensland Univ Technol, Fac Sci & Engn, CAARS Q, Brisbane, Qld 4001, Australia

[2] Queensland Univ Technol, Fac Sci & Engn, Sch Math Sci, Brisbane, Qld 4001, Australia

[3] Cairo Univ, Inst Stat Studies & Res, Operat Res Dept, Giza, Egypt

[4] Qassim Univ, Coll Arts & Sci, Dept Math, Al Badaya, Saudi Arabia

[5] Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Peoples R China

[6] Queensland Univ Technol, Fac Hlth, Ctr Accid Res & Rd Safety, Brisbane, Qld, Australia

来源：

PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Chance constrained programming; Normal distribution; Joint probability distribution; fuzzy numbers; Fuzzy programming; Goal programming; Optimal compromise solution; MODEL; SET;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers coefficients. A fuzzy goal programming approach is developed for the corresponding deterministic problem by defining membership values and aspiration levels. The advantage of the proposed approach is the decision-maker's role only in estimating the efficient solution to avoid or atleast limit the influences of his/her knowledge incomplete about the studied problem. A numerical example is given in the utility of the paper to illustrate the applied and the efficiency of the approach.

引用

页码：854 / 859

页数：6

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