Publication:
Internet of Things Fermatean Fuzzy CRITIC Testing Procedure for New Normal

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmente96637e4-1347-4136-805d-5b5f5f55c960
cris.virtualsource.orcide96637e4-1347-4136-805d-5b5f5f55c960
dc.contributor.affiliationGazi University; Turkish Aeronautical Association; Turk Hava Kurumu University
dc.contributor.authorKabak, Mehmet; Aydin, Serhat; Aktas, Ahmet
dc.date.accessioned2024-06-25T11:44:57Z
dc.date.available2024-06-25T11:44:57Z
dc.date.issued2022
dc.description.abstractDigital disruption was crucial to corporate success even before COVID-19 pandemic. The need for speed digitization has grown even more pressing since the pandemic broke out, exposing firms' digital inadequacies and jeopardizing their operational performance. If firms in all industries are to survive and prosper in the new normal, they must undergo a significant transition. Domestic manufacturers aim to embrace Industry 4.0 technology to close the labor price gap and to be cost competitive. Internet of things (IoT) is one of the key factors in adapting to the new normal. In this study, we determine the criteria for evaluating whether IoT devices are safe and ready to adapt to the new normal. We evaluated eight different criteria and determined their impacts on evaluation process with a Fermatean fuzzy CRITIC procedure. Finally, we determined the weights of criteria.
dc.description.doi10.1007/978-3-031-09173-5_75
dc.description.endpage655
dc.description.pages7
dc.description.researchareasComputer Science
dc.description.startpage649
dc.description.urihttp://dx.doi.org/10.1007/978-3-031-09173-5_75
dc.description.volume504
dc.description.woscategoryComputer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications
dc.identifier.issn2367-3370
dc.identifier.urihttps://acikarsiv.thk.edu.tr/handle/123456789/1199
dc.language.isoEnglish
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.journalINTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 1
dc.subjectFermatean fuzzy sets; Internet of Things; CRITIC method; Industry 4.0
dc.subjectSECURITY
dc.titleInternet of Things Fermatean Fuzzy CRITIC Testing Procedure for New Normal
dc.typeProceedings Paper
dspace.entity.typePublication

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