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

The 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...

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Main Authors:	Albahri O.S., Alamoodi A.H., Pamucar D., Simic V., Chen J., Mahmoud M.A., Albahri A.S., Sharaf I.M.
Other Authors:	57201013684
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Assessment criteria Interval neutrosophic vague set Mobile applications Multicriteria decision-making Multicriterion decision makings Obesity management Quality assessment Smart phones Smart-phone applications Vague sets Nutrition
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id	my.uniten.dspace-36195
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spelling	my.uniten.dspace-361952025-03-03T15:41:33Z Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework Albahri O.S. Alamoodi A.H. Pamucar D. Simic V. Chen J. Mahmoud M.A. Albahri A.S. Sharaf I.M. 57201013684 57205435311 54080216100 7005545253 57189597579 55247787300 57201009814 17435789800 Assessment criteria Interval neutrosophic vague set Mobile applications Multicriteria decision-making Multicriterion decision makings Obesity management Quality assessment Smart phones Smart-phone applications Vague sets Nutrition The 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 Ltd Final 2025-03-03T07:41:33Z 2025-03-03T07:41:33Z 2024 Article 10.1016/j.engappai.2024.109191 2-s2.0-85203011070 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203011070&doi=10.1016%2fj.engappai.2024.109191&partnerID=40&md5=1b12461110018523f2c487eec1f71f4c https://irepository.uniten.edu.my/handle/123456789/36195 137 109191 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Assessment criteria Interval neutrosophic vague set Mobile applications Multicriteria decision-making Multicriterion decision makings Obesity management Quality assessment Smart phones Smart-phone applications Vague sets Nutrition
spellingShingle	Assessment criteria Interval neutrosophic vague set Mobile applications Multicriteria decision-making Multicriterion decision makings Obesity management Quality assessment Smart phones Smart-phone applications Vague sets Nutrition Albahri O.S. Alamoodi A.H. Pamucar D. Simic V. Chen J. Mahmoud M.A. Albahri A.S. Sharaf I.M. Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
description	The 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 Ltd
author2	57201013684
author_facet	57201013684 Albahri O.S. Alamoodi A.H. Pamucar D. Simic V. Chen J. Mahmoud M.A. Albahri A.S. Sharaf I.M.
format	Article
author	Albahri O.S. Alamoodi A.H. Pamucar D. Simic V. Chen J. Mahmoud M.A. Albahri A.S. Sharaf I.M.
author_sort	Albahri O.S.
title	Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
title_short	Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
title_full	Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
title_fullStr	Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
title_full_unstemmed	Selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
title_sort	selection of smartphone-based mobile applications for obesity management using an interval neutrosophic vague decision-making framework
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816016402251776
score	13.244109

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

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