TBU Publications
Repository of TBU Publications

Fuzzy VIKOR approach: Evaluating quality of internet health information

DSpace Repository

Show simple item record


dc.title Fuzzy VIKOR approach: Evaluating quality of internet health information en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014
dc.identifier.issn 2300-5963 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788360810583
dc.date.issued 2014
utb.relation.volume 2
dc.citation.spage 183
dc.citation.epage 190
dc.event.title 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014
dc.event.location Warsaw
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2014-09-07
dc.event.edate 2014-09-10
dc.type article
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.15439/2014F203
dc.description.abstract Proliferation of health related information on the internet is both welcoming and a concern. For instance when solicited information goes wrong, it tends to have dire consequences on the general public. Assessing the quality of internet health information is often difficult but a rational and systematic approach can be useful in evaluating the quality of the services they render to the public. The paper proposes a fuzzy VIKOR framework for evaluating and ranking internet health information providers under a fuzzy environment where uncertainties and subjectivities are catered for with linguistic variables. Linguistic variables with triangular fuzzy numbers (TFN) are used to evaluate weights of the evaluation criteria and the rankings of each internet health information provider. A numerical example is demonstrated using HIV/AIDS online information providers in the most adult prevalent country in the world. The proposed method is compared with TOPSIS and can be applied in evaluating the quality of other specific internet health information providers. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003956
utb.identifier.obdid 43871867
utb.identifier.scopus 2-s2.0-84912099030
utb.identifier.wok 000358008500022
utb.source d-scopus
dc.date.accessioned 2015-01-13T09:25:56Z
dc.date.available 2015-01-13T09:25:56Z
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Komínková Oplatková, Zuzana
Find Full text

Files in this item

Show simple item record