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dc.contributor.authorAsadi, Shahla
dc.contributor.authorNilashi, Mehrbakhsh
dc.contributor.authorAbumalloh, Rabab Ali
dc.contributor.authorSamad, Sarminah
dc.contributor.authorAhani, Ali
dc.contributor.authorGhabban, Fahad
dc.contributor.authorYusuf, Salma Yasmin Mohd
dc.contributor.authorSupriyanto, Eko
dc.date.accessioned2021-07-19T03:44:51Z
dc.date.available2021-07-19T03:44:51Z
dc.date.issued2021
dc.identifier.issn1562-2479en_US
dc.identifier.doi10.1007/s40815-021-01119-5en_US
dc.identifier.urihttp://hdl.handle.net/10072/406112
dc.description.abstractSince social and environmental conditions have changed dramatically in recent years, the spectrum of diseases caused by infections is also evolving rapidly. The outspread of COVID-19 has resulted in an emergency situation across the globe with significant effects on the population’s lives, families, and societies, leading to concerns the World Health Organization. Accordingly, the virus has substantially threatened the Malaysians’ public health and contributed considerably to increased healthcare expenses. Since the novel coronavirus was found in China, Malaysia’s government has started its actions according to the World Health Organization procedures and concentrated on addressing and preventing the spread of the infection. The present paper aims to find and evaluate the factors to respond to the COVID-19 outbreak in Malaysia, limiting the outspread of the disease in this country. This study used the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Fuzzy Rule-Based techniques to evaluate the factors through a set of questionnaires completed by the health care professionals. According to the data analysis results, movement control order, international travel restrictions, and the mass gathering cancellations were of most importance in the prevention of COVID-19 infections transmission.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofjournalInternational Journal of Fuzzy Systemsen_US
dc.subject.fieldofresearchApplied Mathematicsen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processingen_US
dc.subject.fieldofresearchComputation Theory and Mathematicsen_US
dc.subject.fieldofresearchcode0102en_US
dc.subject.fieldofresearchcode0801en_US
dc.subject.fieldofresearchcode0802en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsTechnologyen_US
dc.subject.keywordsAutomation & Control Systemsen_US
dc.subject.keywordsComputer Science, Artificial Intelligenceen_US
dc.subject.keywordsComputer Science, Information Systemsen_US
dc.titleEvaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniquesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationAsadi, S; Nilashi, M; Abumalloh, RA; Samad, S; Ahani, A; Ghabban, F; Yusuf, SYM; Supriyanto, E, Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques, International Journal of Fuzzy Systems, 2021en_US
dc.date.updated2021-07-19T02:02:36Z
gro.description.notepublicThis publication has been entered as an advanced online version in Griffith Research Online.
gro.hasfulltextNo Full Text
gro.griffith.authorAhani, Ali


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