Determining Significant Factors Affecting Vaccine Demand and Factor Relationships Using Fuzzy DEMATEL Method

dc.contributor.author	Dizbay, I.E.
dc.contributor.author	Ozturkoglu, O.
dc.contributor.editor
dc.date.accessioned	2021-01-25T20:47:53Z
dc.date.available	2021-01-25T20:47:53Z
dc.date.issued	2021
dc.identifier	10.1007/978-3-030-51156-2_79
dc.identifier.issn	21945357
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088747421&doi=10.1007%2f978-3-030-51156-2_79&partnerID=40&md5=12dc4d21def5fa0abc9dd7e002e0a8cf
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9592
dc.description.abstract	Even though deadly effects of outbreaks such as SARS, H1N1, EBOLA and COVID-19 took the attention of the community, generating 100% vaccination uptake from people who are expected to be affected by such outbreaks is almost impossible. Hence, determining t
dc.language.iso	English
dc.publisher	Advances in Intelligent Systems and Computing
dc.title	Determining Significant Factors Affecting Vaccine Demand and Factor Relationships Using Fuzzy DEMATEL Method
dc.type	Conference Paper
dc.relation.firstpage	682
dc.relation.lastpage	689
dc.relation.volume	1197 AISC
dc.description.affiliations	Yasar University, Bornova, İzmir, Turkey

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