Improved DEMATEL-ISM integration approach for complex systems.

<h4>Purpose</h4>Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) are commonly used separately, but also may be combined per their common characteristics to identify causal relationships and hierarchical structure among factors in comple...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Jih-Kuang Chen
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/25d8317ace324397a03e64e45e746aa8
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:25d8317ace324397a03e64e45e746aa8
record_format dspace
spelling oai:doaj.org-article:25d8317ace324397a03e64e45e746aa82021-12-02T20:09:08ZImproved DEMATEL-ISM integration approach for complex systems.1932-620310.1371/journal.pone.0254694https://doaj.org/article/25d8317ace324397a03e64e45e746aa82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254694https://doaj.org/toc/1932-6203<h4>Purpose</h4>Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) are commonly used separately, but also may be combined per their common characteristics to identify causal relationships and hierarchical structure among factors in complex systems with a relatively small computational burden. The purpose of this study is to establish an improved DEMATEL-ISM integration approach to remedy the disadvantages of the traditional DEMATEL-ISM integration method. A case study was conducted to compare the proposed improved integration approach against the traditional integration method, and to validate its feasibility and effectiveness.<h4>Methods</h4>The proposed improved DEMATEL-ISM integration approach has two main parts: a threshold determination via maximum mean de-entropy (MMDE) method and an additional transitivity check process. The factors influencing China's rural-urban floating population's willingness to participate in social insurance was analyzed as a case study.<h4>Results</h4>The traditional and improved methods show notable differences in the hierarchical factor structure and the inner influence relationship among factors that they respectively reveal. The traditional integration approach results in some irrationality, while the improved approach does not.<h4>Originality</h4>This study confirms the importance of proper threshold determination and reachability matrix transitivity checking during DEMATEL-ISM integration. The improved approach includes a scientific threshold determination method based on the MMDE method, plus a transitivity check of the reachability matrix with necessary corrections to ensure its soundness. It can be straightforwardly operated at a relatively low computational burden while providing accurate analysis results.Jih-Kuang ChenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254694 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jih-Kuang Chen
Improved DEMATEL-ISM integration approach for complex systems.
description <h4>Purpose</h4>Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) are commonly used separately, but also may be combined per their common characteristics to identify causal relationships and hierarchical structure among factors in complex systems with a relatively small computational burden. The purpose of this study is to establish an improved DEMATEL-ISM integration approach to remedy the disadvantages of the traditional DEMATEL-ISM integration method. A case study was conducted to compare the proposed improved integration approach against the traditional integration method, and to validate its feasibility and effectiveness.<h4>Methods</h4>The proposed improved DEMATEL-ISM integration approach has two main parts: a threshold determination via maximum mean de-entropy (MMDE) method and an additional transitivity check process. The factors influencing China's rural-urban floating population's willingness to participate in social insurance was analyzed as a case study.<h4>Results</h4>The traditional and improved methods show notable differences in the hierarchical factor structure and the inner influence relationship among factors that they respectively reveal. The traditional integration approach results in some irrationality, while the improved approach does not.<h4>Originality</h4>This study confirms the importance of proper threshold determination and reachability matrix transitivity checking during DEMATEL-ISM integration. The improved approach includes a scientific threshold determination method based on the MMDE method, plus a transitivity check of the reachability matrix with necessary corrections to ensure its soundness. It can be straightforwardly operated at a relatively low computational burden while providing accurate analysis results.
format article
author Jih-Kuang Chen
author_facet Jih-Kuang Chen
author_sort Jih-Kuang Chen
title Improved DEMATEL-ISM integration approach for complex systems.
title_short Improved DEMATEL-ISM integration approach for complex systems.
title_full Improved DEMATEL-ISM integration approach for complex systems.
title_fullStr Improved DEMATEL-ISM integration approach for complex systems.
title_full_unstemmed Improved DEMATEL-ISM integration approach for complex systems.
title_sort improved dematel-ism integration approach for complex systems.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/25d8317ace324397a03e64e45e746aa8
work_keys_str_mv AT jihkuangchen improveddematelismintegrationapproachforcomplexsystems
_version_ 1718375110853787648