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Distance education tool selection using novel spherical fuzzy AHP EDAS
COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comprehensively and scientifically evaluate the alternatives of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785709/ https://www.ncbi.nlm.nih.gov/pubmed/35095335 http://dx.doi.org/10.1007/s00500-022-06763-z |
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author | Menekşe, Akın Camgöz Akdağ, Hatice |
author_facet | Menekşe, Akın Camgöz Akdağ, Hatice |
author_sort | Menekşe, Akın |
collection | PubMed |
description | COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comprehensively and scientifically evaluate the alternatives of videoconferencing tools to be used in distance education has emerged. This paper proposes a novel hybrid multi-criteria group decision-making (MCGDM) model by integrating the analytic hierarchy process (AHP) and the evaluation based on distance from average solution (EDAS) methodologies. The proposed model is developed with spherical fuzzy (SF) sets, which enable decision-makers (DMs) express their membership, non-membership and hesitancy degrees independently, and in a large three-dimensional spherical space. The applicability of the developed spherical fuzzy AHP EDAS is illustrated through a problem of selecting a videoconferencing tool for distance education. For this purpose, three DMs evaluate five popular videoconferencing tools, namely Zoom, Google Meet, Cisco WebEx, Skype and Microsoft with respect to six criteria, which are expanded with 32 related sub-criteria from the literature to more comprehensively handle the problem. The implications, sensitivity and comparative analyses, limitations and future research avenue are also given within the study. |
format | Online Article Text |
id | pubmed-8785709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87857092022-01-25 Distance education tool selection using novel spherical fuzzy AHP EDAS Menekşe, Akın Camgöz Akdağ, Hatice Soft comput Methodologies and Application COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comprehensively and scientifically evaluate the alternatives of videoconferencing tools to be used in distance education has emerged. This paper proposes a novel hybrid multi-criteria group decision-making (MCGDM) model by integrating the analytic hierarchy process (AHP) and the evaluation based on distance from average solution (EDAS) methodologies. The proposed model is developed with spherical fuzzy (SF) sets, which enable decision-makers (DMs) express their membership, non-membership and hesitancy degrees independently, and in a large three-dimensional spherical space. The applicability of the developed spherical fuzzy AHP EDAS is illustrated through a problem of selecting a videoconferencing tool for distance education. For this purpose, three DMs evaluate five popular videoconferencing tools, namely Zoom, Google Meet, Cisco WebEx, Skype and Microsoft with respect to six criteria, which are expanded with 32 related sub-criteria from the literature to more comprehensively handle the problem. The implications, sensitivity and comparative analyses, limitations and future research avenue are also given within the study. Springer Berlin Heidelberg 2022-01-24 2022 /pmc/articles/PMC8785709/ /pubmed/35095335 http://dx.doi.org/10.1007/s00500-022-06763-z Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Methodologies and Application Menekşe, Akın Camgöz Akdağ, Hatice Distance education tool selection using novel spherical fuzzy AHP EDAS |
title | Distance education tool selection using novel spherical fuzzy AHP EDAS |
title_full | Distance education tool selection using novel spherical fuzzy AHP EDAS |
title_fullStr | Distance education tool selection using novel spherical fuzzy AHP EDAS |
title_full_unstemmed | Distance education tool selection using novel spherical fuzzy AHP EDAS |
title_short | Distance education tool selection using novel spherical fuzzy AHP EDAS |
title_sort | distance education tool selection using novel spherical fuzzy ahp edas |
topic | Methodologies and Application |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785709/ https://www.ncbi.nlm.nih.gov/pubmed/35095335 http://dx.doi.org/10.1007/s00500-022-06763-z |
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