Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations

Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations

Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems...

Full description

Bibliographic Details
Main Authors: Sorooshian, Shahryar, Falatoonitoosi, Elham, Shamsuddin, Ahmed
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
H Social Sciences (General)
Online Access:http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/1/103846.pdf
id ump-5399
recordtype eprints
spelling ump-53992018-02-28T02:07:29Z http://umpir.ump.edu.my/id/eprint/5399/ Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations Sorooshian, Shahryar Falatoonitoosi, Elham Shamsuddin, Ahmed H Social Sciences (General) Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems. DEMATEL is able to realize casual relationships by dividing important issues into cause and effect group as well as making it possible to visualize the casual relationships of subcriteria and systems in the course of casual diagram that it may demonstrate communication network or a little control relationships between individuals. Despite of its ability to visualize cause and effect inside a network, the original DEMATEL has not been able to find the cause and effect group between different networks. Therefore, the aim of this study is proposing the expanded DEMATEL to cover this deficiency by new formulations to determine cause and effect factors between separate networks that have bidirectional direct impact on each other. At the end, the feasibility of new extra formulations is validated by case study in three numerical examples of green supply chain networks for an automotive company. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5399/1/103846.pdf Sorooshian, Shahryar and Falatoonitoosi, Elham and Shamsuddin, Ahmed (2014) Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations. The Scientific World Journal, 2014. pp. 1-7. ISSN 1537-744X http://dx.doi.org/10.1155/2014/103846 DOI: 10.1155/2014/103846
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Sorooshian, Shahryar
Falatoonitoosi, Elham
Shamsuddin, Ahmed
Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
description Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems. DEMATEL is able to realize casual relationships by dividing important issues into cause and effect group as well as making it possible to visualize the casual relationships of subcriteria and systems in the course of casual diagram that it may demonstrate communication network or a little control relationships between individuals. Despite of its ability to visualize cause and effect inside a network, the original DEMATEL has not been able to find the cause and effect group between different networks. Therefore, the aim of this study is proposing the expanded DEMATEL to cover this deficiency by new formulations to determine cause and effect factors between separate networks that have bidirectional direct impact on each other. At the end, the feasibility of new extra formulations is validated by case study in three numerical examples of green supply chain networks for an automotive company.
format Article
author Sorooshian, Shahryar
Falatoonitoosi, Elham
Shamsuddin, Ahmed
author_facet Sorooshian, Shahryar
Falatoonitoosi, Elham
Shamsuddin, Ahmed
author_sort Sorooshian, Shahryar
title Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
title_short Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
title_full Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
title_fullStr Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
title_full_unstemmed Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
title_sort expanded dematel for determining cause and effect group in bidirectional relations
publisher Hindawi Publishing Corporation
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/
http://umpir.ump.edu.my/id/eprint/5399/1/103846.pdf
first_indexed 2023-09-18T22:00:43Z
last_indexed 2023-09-18T22:00:43Z
_version_ 1777414380090032128

Similar Items