Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)

Objective: The purpose of this study is to develop and improve the multilayer fuzzy cognitive maps in structuring and analysis of problems with high dimensions by providing a quantitative framework. Methods: In this study, the Self-Organizing Map method and Graph Theory and Matrix Approach has been...

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Autores principales:	Mohammad Ali Sangbor, Mohammad Reza Safi, Adel Azar, Masood Rabieh
Formato:	article
Lenguaje:	FA
Publicado:	University of Tehran 2021
Materias:	multilayer fuzzy cognitive maps self-organizing map graph theory and matrix approach sustainable supply chain management Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/995171f85b434d1faee90100d3e48c4e
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id	oai:doaj.org-article:995171f85b434d1faee90100d3e48c4e
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spelling	oai:doaj.org-article:995171f85b434d1faee90100d3e48c4e2021-11-14T05:49:38ZDevelopment a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)2008-58852423-536910.22059/imj.2021.308177.1007769https://doaj.org/article/995171f85b434d1faee90100d3e48c4e2021-04-01T00:00:00Zhttps://imj.ut.ac.ir/article_84352_b8450e25842806376ef39aa90450837f.pdfhttps://doaj.org/toc/2008-5885https://doaj.org/toc/2423-5369Objective: The purpose of this study is to develop and improve the multilayer fuzzy cognitive maps in structuring and analysis of problems with high dimensions by providing a quantitative framework. Methods: In this study, the Self-Organizing Map method and Graph Theory and Matrix Approach has been combined in the multilayer fuzzy cognitive maps approach. Based on this approach, problem structuring is done by clustering and creating a multilayer structure for cognitive mapping. Results: The developed method in the present study has been used to analyze the problem of sustainable supply chain management achievement in the petrochemical industry. According to the results of data analysis based on the presented approach, "cooperation in the supply chain", "organizational development" and "management commitment to sustainable development" are the most effective factors in enabling sustainable supply chain management. Conclusion: Based on the method presented in the present study, the problem is modeled by clustering components and creating a multilayer structure for cognitive mapping. The method presented in the present study can model problems with a large number of intervening variables. The proposed method in this study can model problems with a high number of variables.Mohammad Ali SangborMohammad Reza SafiAdel AzarMasood RabiehUniversity of Tehranarticlemultilayer fuzzy cognitive mapsself-organizing mapgraph theory and matrix approachsustainable supply chain managementManagement. Industrial managementHD28-70FAمدیریت صنعتی, Vol 13, Iss 1, Pp 80-104 (2021)
institution	DOAJ
collection	DOAJ
language	FA
topic	multilayer fuzzy cognitive maps self-organizing map graph theory and matrix approach sustainable supply chain management Management. Industrial management HD28-70
spellingShingle	multilayer fuzzy cognitive maps self-organizing map graph theory and matrix approach sustainable supply chain management Management. Industrial management HD28-70 Mohammad Ali Sangbor Mohammad Reza Safi Adel Azar Masood Rabieh Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
description	Objective: The purpose of this study is to develop and improve the multilayer fuzzy cognitive maps in structuring and analysis of problems with high dimensions by providing a quantitative framework. Methods: In this study, the Self-Organizing Map method and Graph Theory and Matrix Approach has been combined in the multilayer fuzzy cognitive maps approach. Based on this approach, problem structuring is done by clustering and creating a multilayer structure for cognitive mapping. Results: The developed method in the present study has been used to analyze the problem of sustainable supply chain management achievement in the petrochemical industry. According to the results of data analysis based on the presented approach, "cooperation in the supply chain", "organizational development" and "management commitment to sustainable development" are the most effective factors in enabling sustainable supply chain management. Conclusion: Based on the method presented in the present study, the problem is modeled by clustering components and creating a multilayer structure for cognitive mapping. The method presented in the present study can model problems with a large number of intervening variables. The proposed method in this study can model problems with a high number of variables.
format	article
author	Mohammad Ali Sangbor Mohammad Reza Safi Adel Azar Masood Rabieh
author_facet	Mohammad Ali Sangbor Mohammad Reza Safi Adel Azar Masood Rabieh
author_sort	Mohammad Ali Sangbor
title	Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
title_short	Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
title_full	Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
title_fullStr	Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
title_full_unstemmed	Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)
title_sort	development a quantitative framework for multilayer fuzzy cognitive maps by combining "self-organizing map" and "graph theory and matrix approach" (som-gtma)
publisher	University of Tehran
publishDate	2021
url	https://doaj.org/article/995171f85b434d1faee90100d3e48c4e
work_keys_str_mv	AT mohammadalisangbor developmentaquantitativeframeworkformultilayerfuzzycognitivemapsbycombiningselforganizingmapandgraphtheoryandmatrixapproachsomgtma AT mohammadrezasafi developmentaquantitativeframeworkformultilayerfuzzycognitivemapsbycombiningselforganizingmapandgraphtheoryandmatrixapproachsomgtma AT adelazar developmentaquantitativeframeworkformultilayerfuzzycognitivemapsbycombiningselforganizingmapandgraphtheoryandmatrixapproachsomgtma AT masoodrabieh developmentaquantitativeframeworkformultilayerfuzzycognitivemapsbycombiningselforganizingmapandgraphtheoryandmatrixapproachsomgtma
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Development a Quantitative Framework for Multilayer Fuzzy Cognitive Maps by combining "Self-Organizing Map" and "Graph Theory and Matrix Approach" (SOM-GTMA)

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