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Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection
- Source :
-
Expert Systems with Applications . Feb2013, Vol. 40 Issue 3, p899-907. 9p. - Publication Year :
- 2013
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09574174
- Volume :
- 40
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Expert Systems with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 82598079
- Full Text :
- https://doi.org/10.1016/j.eswa.2012.05.046