Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection

被引：211

作者：

Baykasoglu, Adil ^{[1
]}

Kaplanoglu, Vahit ^{[2
]}

Durmusoglu, Zeynep D. U. ^{[2
]}

Sahin, Cenk ^{[3
]}

机构：

[1] Dokuz Eylul Univ, Fac Engn, Dept Ind Engn, Izmir, Turkey

[2] Gaziantep Univ, Fac Engn, Dept Ind Engn, Gaziantep, Turkey

[3] Cukurova Univ, Fac Engn, Dept Ind Engn, Adana, Turkey

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2013年 / 40卷 / 03期

关键词：

Fuzzy hierarchical TOPSIS; Fuzzy DEMATEL; Truck selection; Logistics; DECISION-MAKING; AHP; LOCATION; NUMBERS;

D O I：

10.1016/j.eswa.2012.05.046

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the present paper, a novel fuzzy Multiple Attribute Decision Making (MADM) model is proposed for modeling and solving truck selection problem of a land transportation company. As truck selection is a very crucial problem for the land transportation companies, a systematic and scientific approach is necessary for its solution. A systematic methodology is proposed in the present study by integrating "fuzzy DEMATEL" and "fuzzy hierarchical TOPSIS". The proposed method makes use of fuzzy DEMATEL method for evaluating the weights of the criteria and hierarchical fuzzy TOPSIS method for assessing the alternatives according to criteria. The steps of the method are described first then a case study is presented in the paper. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：899 / 907

页数：9

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