Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection


Baykasoglu A., Kaplanoglu V., Durmusoglu Z. D. U., ŞAHİN C.

EXPERT SYSTEMS WITH APPLICATIONS, vol.40, no.3, pp.899-907, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 3
  • Publication Date: 2013
  • Doi Number: 10.1016/j.eswa.2012.05.046
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.899-907
  • Çukurova University Affiliated: Yes

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. (C) 2012 Elsevier Ltd. All rights reserved.