Modelling for Causal Interrelationships by DEMATEL

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...

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Main Authors: Siti Aissah, Mad Ali, Sorooshian, Shahryar, Cheng, Jack Kie
Format: Article
Language:English
Published: Hikari Ltd 2016
Subjects:
H Social Sciences (General)
Online Access:http://umpir.ump.edu.my/id/eprint/13909/
http://umpir.ump.edu.my/id/eprint/13909/
http://umpir.ump.edu.my/id/eprint/13909/
http://umpir.ump.edu.my/id/eprint/13909/1/fim-2016-sorooshian-Modelling%20for%20Causal%20Interrelationships.pdf
id ump-13909
recordtype eprints
spelling ump-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
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)
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/
http://umpir.ump.edu.my/id/eprint/13909/
http://umpir.ump.edu.my/id/eprint/13909/
http://umpir.ump.edu.my/id/eprint/13909/1/fim-2016-sorooshian-Modelling%20for%20Causal%20Interrelationships.pdf
first_indexed 2023-09-18T22:17:02Z
last_indexed 2023-09-18T22:17:02Z
_version_ 1777415406758133760

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