Fully fuzzy fixed charge multi-item solid transportation problem

被引：53

作者：

Giri, Pravash Kumar ^{[1
]}

Maiti, Manas Kumar ^{[2
]}

Maiti, Manoranjan ^{[1
]}

机构：

[1] Vidyasagar Univ, Dept Appl Math Oceanol & Comp Programming, Purba Medinipur 721102, W Bengal, India

[2] Mahishadal Raj Coll, Dept Math, Purba Medinipur 721628, W Bengal, India

来源：

APPLIED SOFT COMPUTING | 2015年 / 27卷

关键词：

Solid transportation problem; Fixed charge; Multi-item; Fully fuzzy solution; Fuzzy chance constraint programming; LINEAR-PROGRAMMING PROBLEMS;

D O I：

10.1016/j.asoc.2014.10.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents fully fuzzy fixed charge multi-item solid transportation problems (FFFCMISTPs), in which direct costs, fixed charges, supplies, demands, conveyance capacities and transported quantities (decision variables) are fuzzy in nature. Objective is to minimize the total fuzzy cost under fuzzy decision variables. In this paper, some approaches are proposed to find the fully fuzzy transported amounts for a fuzzy solid transportation problem (FSTP). Proposed approaches are applicable for both balanced and unbalanced FFFCMISTPs. Another fuzzy fixed charge multi-item solid transportation problem (FFCMISTP) in which transported amounts (decision variables) are not fuzzy is also presented and solved by some other techniques. The models are illustrated with numerical examples and nature of the solutions is discussed. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：77 / 91

页数：15

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