Modelling for Causal Interrelationships by DEMATEL

This paper aims to propose researchers and professionals to employ DEMATEL as an essential element in their decision making process. Effort is taken to make it apparent that DEMATEL would be the most suitable tool when there is composite and complex mixture of aspects or factors relationship that ha...

Full description

Saved in:
Bibliographic Details
Main Authors: Siti Aissah, Mad Ali, Sorooshian, Shahryar, Cheng, Jack Kie
Format: Article
Language:English
Published: Hikari Ltd 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13909/1/fim-2016-sorooshian-Modelling%20for%20Causal%20Interrelationships.pdf
http://umpir.ump.edu.my/id/eprint/13909/
http://dx.doi.org/10.12988/ces.2016.6214
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.13909
record_format eprints
spelling my.ump.umpir.139092018-02-06T00:44:28Z http://umpir.ump.edu.my/id/eprint/13909/ Modelling for Causal Interrelationships by DEMATEL Siti Aissah, Mad Ali Sorooshian, Shahryar Cheng, Jack Kie H Social Sciences (General) This paper aims to propose researchers and professionals to employ DEMATEL as an essential element in their decision making process. Effort is taken to make it apparent that DEMATEL would be the most suitable tool when there is composite and complex mixture of aspects or factors relationship that has to be understood prior making any decision. The interdependencies could be well understood by having the Impact Relation Map chalked out via DEMATEL. This visualization with the calculations that shows the degree of impact would very well furnish decision makers with aiding information. In this paper, DEMATEL’s capability and method will be detailed out for general understanding and guidance. Hikari Ltd 2016 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/13909/1/fim-2016-sorooshian-Modelling%20for%20Causal%20Interrelationships.pdf Siti Aissah, Mad Ali and Sorooshian, Shahryar and Cheng, Jack Kie (2016) Modelling for Causal Interrelationships by DEMATEL. Contemporary Engineering Sciences, 9 (9). pp. 403-412. ISSN 1313-6569 (print); 1314-7641 (online) http://dx.doi.org/10.12988/ces.2016.6214 DOI: 10.12988/ces.2016.6214
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Siti Aissah, Mad Ali
Sorooshian, Shahryar
Cheng, Jack Kie
Modelling for Causal Interrelationships by DEMATEL
description This paper aims to propose researchers and professionals to employ DEMATEL as an essential element in their decision making process. Effort is taken to make it apparent that DEMATEL would be the most suitable tool when there is composite and complex mixture of aspects or factors relationship that has to be understood prior making any decision. The interdependencies could be well understood by having the Impact Relation Map chalked out via DEMATEL. This visualization with the calculations that shows the degree of impact would very well furnish decision makers with aiding information. In this paper, DEMATEL’s capability and method will be detailed out for general understanding and guidance.
format Article
author Siti Aissah, Mad Ali
Sorooshian, Shahryar
Cheng, Jack Kie
author_facet Siti Aissah, Mad Ali
Sorooshian, Shahryar
Cheng, Jack Kie
author_sort Siti Aissah, Mad Ali
title Modelling for Causal Interrelationships by DEMATEL
title_short Modelling for Causal Interrelationships by DEMATEL
title_full Modelling for Causal Interrelationships by DEMATEL
title_fullStr Modelling for Causal Interrelationships by DEMATEL
title_full_unstemmed Modelling for Causal Interrelationships by DEMATEL
title_sort modelling for causal interrelationships by dematel
publisher Hikari Ltd
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/13909/1/fim-2016-sorooshian-Modelling%20for%20Causal%20Interrelationships.pdf
http://umpir.ump.edu.my/id/eprint/13909/
http://dx.doi.org/10.12988/ces.2016.6214
_version_ 1643667287235887104
score 13.160551