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Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework

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dc.citedby3
dc.contributor.authorAlbahri O.S.en_US
dc.contributor.authorAlamoodi A.H.en_US
dc.contributor.authorPamucar D.en_US
dc.contributor.authorSimic V.en_US
dc.contributor.authorChen J.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAlbahri A.S.en_US
dc.contributor.authorSharaf I.M.en_US
dc.contributor.authorid57201013684en_US
dc.contributor.authorid57205435311en_US
dc.contributor.authorid54080216100en_US
dc.contributor.authorid7005545253en_US
dc.contributor.authorid57189597579en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid57201009814en_US
dc.contributor.authorid17435789800en_US
dc.date.accessioned2025-03-03T07:41:33Z
dc.date.available2025-03-03T07:41:33Z
dc.date.issued2024
dc.description.abstractThe selection of mobile applications for managing obesity poses a complex multicriteria decision-making (MCDM) challenge. This complexity arises from the diverse criteria of the apps, their respective values, and the need to determine the relative importance of these criteria. Therefore, this study contributes to the body of knowledge by evaluating smartphone-based mobile applications for obesity management through the development of a novel MCDM selection framework. The decision matrix formulates the quality assessment criteria and identifies smartphone applications for diagnosing obesity. In the research methodology, the MCDM solution is presented by integrating two methods: the interval neutrosophic vague-based fuzzy-weighted zero-consistency (INV-FWZIC) method for weighting the quality assessment criteria and the interval neutrosophic vague-based fuzzy decision by opinion score method (INV-FDOSM) for selecting smartphone applications for obesity. The results indicate that the ?technology-enhanced features? and ?usability? criteria received the highest equal weight score (0.2183), while the criterion of ?behavior change techniques? received the lowest weight (0.1783). The group decision-making results show that Application A1 (Noom Weight Loss Coach) is the best, with a score of 0.6869, while Application A7 (Cronometer) is the worst, with the lowest score of 0.6165. Various assessment approaches, including systematic ranking, reliability and validity analyses, sensitivity analysis, and comparison analysis, are employed to evaluate and validate the proposed framework. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo109191
dc.identifier.doi10.1016/j.engappai.2024.109191
dc.identifier.scopus2-s2.0-85203011070
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85203011070&doi=10.1016%2fj.engappai.2024.109191&partnerID=40&md5=1b12461110018523f2c487eec1f71f4c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36195
dc.identifier.volume137
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEngineering Applications of Artificial Intelligence
dc.subjectAssessment criteria
dc.subjectInterval neutrosophic vague set
dc.subjectMobile applications
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectObesity management
dc.subjectQuality assessment
dc.subjectSmart phones
dc.subjectSmart-phone applications
dc.subjectVague sets
dc.subjectNutrition
dc.titleSelection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making frameworken_US
dc.typeArticleen_US
dspace.entity.typePublication
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