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Mathematical Problems in Engineering
Volume 2018 (2018), Article ID 3696457, 33 pages
https://doi.org/10.1155/2018/3696457
Review Article

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

1School of Economics and Management, Tongji University, Shanghai 200092, China
2Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK
3School of Management, Shanghai University, Shanghai 200444, China

Correspondence should be addressed to Hu-Chen Liu

Received 8 October 2017; Accepted 14 December 2017; Published 14 January 2018

Academic Editor: Marco Pizzarelli

Copyright © 2018 Sheng-Li Si et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Decision making trial and evaluation laboratory (DEMATEL) is considered as an effective method for the identification of cause-effect chain components of a complex system. It deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model. Over the recent decade, a large number of studies have been done on the application of DEMATEL and many different variants have been put forward in the literature. The objective of this study is to review systematically the methodologies and applications of the DEMATEL technique. We reviewed a total of 346 papers published from 2006 to 2016 in the international journals. According to the approaches used, these publications are grouped into five categories: classical DEMATEL, fuzzy DEMATEL, grey DEMATEL, analytical network process- (ANP-) DEMATEL, and other DEMATEL. All papers with respect to each category are summarized and analyzed, pointing out their implementing procedures, real applications, and crucial findings. This systematic and comprehensive review holds valuable insights for researchers and practitioners into using the DEMATEL in terms of indicating current research trends and potential directions for further research.