ItemArticle

Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP

Title
Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP
Creator
Gupta K.; Roy S.; Poonia R.C.; Kumar R.; Nayak S.R.; Altameem A.; Saudagar A.K.J.
Description
People use mHealth applications to help manage and keep track of their health conditions more effectively. With the increase of mHealth applications, it has become more difficult to choose the best applications that are user-friendly and provide user satisfaction. The best techniques for any decision-making challenge are multi-criteria decision-making (MCDM) methodologies. However, traditional MCDM methods cannot provide accurate results in complex situations. Currently, researchers are focusing on the use of hybrid MCDM methods to provide accurate decisions for complex problems. Thus, the authors in this paper proposed two hybrid MCDM methods, CODAS-FAHP and MOORA-FAHP, to assess the usability of the five most familiar mHealth applications that focus on type 2 diabetes mellitus (T2DM), based on ten criteria. The fuzzy Analytic Hierarchy Process (FAHP) is applied for efficient weight estimation by removing the vagueness and ambiguity of expert judgment. The CODAS and MOORA MCDM methods are used to rank the mHealth applications, depending on the usability parameter, and to select the best application. The resulting analysis shows that the ranking from both hybrid models is sufficiently consistent. To assess the proposed frameworks stability and validity, a sensitivity analysis was performed. It showed that the result is consistent with the proposed hybrid model. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Source
Applied Sciences (Switzerland), Vol-12, No. 9
Date
2022-01-01
Publisher
MDPI
Subject
CODAS; FAHP; MOORA; T2DM mHealth applications; usability; usability score
Coverage
Gupta K., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201303, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia
Rights
All Open Access; Gold Open Access
Relation
ISSN: 20763417
Format
Online
Language
English
Type
Article

Collection

Articles

Citation

Gupta K.; Roy S.; Poonia R.C.; Kumar R.; Nayak S.R.; Altameem A.; Saudagar A.K.J., “Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/15141.

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