COVID-19 Risk Assessment of Occupations Using Interval Type 2 Fuzzy Z-AHP & TOPSIS Methodology

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dc.authoriducal sari, irem/0000-0002-1627-612X;
dc.contributor.authorSari, Irem Ucal
dc.contributor.authorTuysuz, Nurdan
dc.date.accessioned2024-09-11T19:53:47Z
dc.date.available2024-09-11T19:53:47Z
dc.date.issued2022
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractThe pandemic spread of COVID-19 caused by a virus that affects the respiratory system represents a dramatic threat to life. People have been practicing social distancing by working from home in recent months since it is an excellent solution to reduce one's exposure to COVID-19. However, many occupations do not have this chance due to the necessity to attend the workplace. Besides, some professions require close contact with infected people such as medicine and nursing, while others such as logging and gardening have a low level of risk in this respect. However, while occupations such as medicine and nursing can take precautions against the virus at a very good level, the knowledge of occupations such as logging and gardening is weak against it. Prioritizing occupations based on these conflicting criteria is an important task under the vagueness and impreciseness of human evaluations. In this paper, a novel fuzzy AHP & TOPSIS methodology is proposed, where the reliability and restriction of the expert assessments are considered by interval-valued type 2 fuzzy numbers. A real case study including five experts, 14 occupations, and seven criteria is presented. A comparative analysis is also given to validate the proposed methodology.en_US
dc.identifier.endpage602en_US
dc.identifier.issn1542-3980
dc.identifier.issn1542-3999
dc.identifier.issue5-6en_US
dc.identifier.scopus2-s2.0-85128938636en_US
dc.identifier.startpage575en_US
dc.identifier.urihttps://hdl.handle.net/11363/8198
dc.identifier.volume38en_US
dc.identifier.wosWOS:000773518100008en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherOld City Publishing Incen_US
dc.relation.ispartofJournal of Multiple-Valued Logic And Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectRisk assessmenten_US
dc.subjectinterval type 2 fuzzy Z numbersen_US
dc.subjectfuzzy analytic hierarchy processen_US
dc.subjectfuzzy TOPSISen_US
dc.titleCOVID-19 Risk Assessment of Occupations Using Interval Type 2 Fuzzy Z-AHP & TOPSIS Methodologyen_US
dc.typeArticleen_US

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