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Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Based Method

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dc.title Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Based Method en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Klímek, Petr
dc.relation.ispartof Journal of Multi-Criteria Decision Analysis
dc.identifier.issn 1057-9214 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2016
utb.relation.volume 23
utb.relation.issue 1-2
dc.citation.spage 49
dc.citation.epage 62
dc.type article
dc.language.iso en
dc.publisher Wiley-Blackwell
dc.identifier.doi 10.1002/mcda.1558
dc.relation.uri http://onlinelibrary.wiley.com/doi/10.1002/mcda.1558/full
dc.subject online health information en
dc.subject decision making model en
dc.subject fuzzy VIKOR en
dc.subject unsafe information en
dc.subject health info websites en
dc.description.abstract Today, tens and thousands of websites provide health-related information on various topics to a growing number of consumers. However, the lay user is often faced with a challenge of determining the quality of information provided by one site from the other. To ensure the protection of users from sites that provide unreliable and unsafe information, there has to be a competent reviewing body that rates and ranks the quality of information provided by each site. This paper (i) proposes a new criteria framework for assessing the quality of online health information and (ii) uses a fuzzy 'visekriterijumska optimicija i kompromisno resenje' method to demonstrate how online health information providers could be assessed and ranked based on their quality. The fuzzy modelling uses pre-defined linguistic variables parameterized by triangular fuzzy numbers in the assessment and subsequent ranking of providers under a particular health topic. A numerical example is demonstrated using diabetes online information providers to show how the assessment and ranking is carried out. The proposed framework provides functional basis for evaluating the quality of internet health information providers on any particular health topic. Copyright (C) 2015 John Wiley & Sons, Ltd. en
utb.faculty Faculty of Management and Economics
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006349
utb.identifier.scopus 2-s2.0-84959914493
utb.identifier.wok 000371612000005
utb.source j-wok
dc.date.accessioned 2016-06-22T12:14:50Z
dc.date.available 2016-06-22T12:14:50Z
dc.description.sponsorship MSMT-7778/2014, NPU, Northwestern Polytechnical University
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Klímek, Petr
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