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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2016
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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 |
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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 |
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H Social Sciences (General) Siti Aissah, Mad Ali Sorooshian, Shahryar Cheng, Jack Kie Modelling for Causal Interrelationships by DEMATEL |
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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 |
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13.160551 |