Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection

Authors:
Adil BaykasoğLu;Vahit KaplanoğLu;Zeynep D. U. DurmuşOğLu;Cenk ŞAhin
Affiliations:
Dokuz Eylül University, Faculty of Engineering, Department of Industrial Engineering, Izmir, Turkey;University of Gaziantep, Faculty of Engineering, Department of Industrial Engineering, Gaziantep, Turkey;University of Gaziantep, Faculty of Engineering, Department of Industrial Engineering, Gaziantep, Turkey;Çukurova University, Faculty of Engineering, Department of Industrial Engineering, Adana, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

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.