A multi-objective transportation problem under fuzziness

被引：79

作者：

El-Wahed, WFA ^{[1
]}

机构：

[1] El Menoufia Univ, Fac Engn, Dept Phys & Engn Math, Shiben El Kom, Egypt

来源：

FUZZY SETS AND SYSTEMS | 2001年 / 117卷 / 01期

关键词：

multi-objective optimization; transportation problem; fuzzy decision approach; compromise solution;

D O I：

10.1016/S0165-0114(98)00155-9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a fuzzy programming approach to determine the optimal compromise solution of a multi-objective transportation problem (MOTP). Its fuzzy membership function is defined. The approach performance is tested by measuring the degree of closeness of the compromise solution to the ideal solution using a family of distance functions. In addition, the paper shows that the fuzzy approach outperforms the interactive procedure as the number of objectives and constraints increases. Two illustrative numerical examples are provided to illustrate the approach. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：27 / 33

页数：7

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