GOAL PROGRAMMING APPROACH FOR SOLVING MULTI-OBJECTIVE FRACTIONAL TRANSPORTATION PROBLEM WITH FUZZY PARAMETERS

被引：16

作者：

Anukokila, Paraman ^{[1
]}

Radhakrishnan, Bheeman ^{[2
]}

Anju, Antony ^{[1
]}

机构：

[1] PSG Coll Arts & Sci, Dept Math, Coimbatore 641014, Tamil Nadu, India

[2] PSG Coll Technol, Dept Math, Coimbatore 641004, Tamil Nadu, India

来源：

RAIRO-OPERATIONS RESEARCH | 2019年 / 53卷 / 01期

关键词：

Transportation problem; fractional programming; goal programming;

D O I：

10.1051/ro/2019005

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

In this paper, authors studied a goal programming approach for solving multi-objective fractional transportation problem by representing the parameters (gamma,delta) in terms of interval valued fuzzy numbers. Fuzzy goal programming problem with multiple objectives is difficult for the decision makers to determine the goal valued of each objective precisely. The proposed model presents a special type of non-linear (hyperbolic) membership functions to solve multi-objective fractional transportation problem with fuzzy parameters. To illustrate the proposed method numerical examples are solved.

引用

页码：157 / 178

页数：22

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