Multiobjective Fuzzy Stochastic Linear Programming Problems with Inexact Probability Distribution

被引：0

作者：

Hamadameen, Abdulqader Othman ^{[1
]}

Zainuddin, Zaitul Marlizawati ^{[1
]}

机构：

[1] UTM, Fac Sci, Dept Math Sci, Johor Baharu, Malaysia

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES | 2014年 / 1602卷

关键词：

Multiobjective fuzzy stochastic programming; fuzzy transformation; ranking function; stochastic transformation; linguistic hedges; an adaptive arithmetic average; SIMPLEX-METHOD; RANKING; DUALITY;

D O I：

10.1063/1.4882539

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This study deals with multiobjective fuzzy stochastic linear programming problems with uncertainty probability distribution which are defined as fuzzy assertions by ambiguous experts. The problem formulation has been presented and the two solutions strategies are; the fuzzy transformation via ranking function and the stochastic transformation when alpha- cut technique and linguistic hedges are used in the uncertainty probability distribution. The development of Sen's method is employed to find a compromise solution, supported by illustrative numerical example.

引用

页码：546 / 558

页数：13

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