Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS

Rajak, Manindra; Shaw, Krishnendu

doi:10.1016/j.techsoc.2019.101186

Cited by 148 publications

(86 citation statements)

References 113 publications

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“…The hierarchy levels are structured in such a way that there is a set of alternatives at the minimal level and a general goal is placed at the top level. In between the minimal and top levels, the general criteria and sub-criteria are placed [18]. After this, logical hierarchy levels are constructed, and the decision-maker can systematically assess the alternatives based on pair-wise comparison judgments.…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Analytic Hierarchy Process-Based Construction Material Selection for Performance Improvement of Building Construction: The Case of a Concrete System Form

Lee

Lee²,

Kim

et al. 2020

Materials

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Selecting the best materials that ensure maximum performance is crucial in the construction engineering design of any construction project. However, this is challenging and usually not properly considered because of the lack of systematic and scientific evaluation methods for the performance of materials. This paper proposes a new approach of selecting material to satisfy the performance goal of material designers in building constructions based on the analytic hierarchy process method. To validate the suggested model, a case study was conducted for a concrete system form, the performance of which is susceptible to its materials and has a strong effect on overall project productivity. The newly developed form comprising polymers and alloys showed that the proposed material selection model provided a better combination of materials, and the solution was technically more advanced and ensured better performance. This paper contributes to the body of knowledge by expanding the understanding of how construction material properties affect project performance and provides a guideline for material engineers to select the best-performing building materials while considering a performance goal.

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Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Analytic Hierarchy Process-Based Construction Material Selection for Performance Improvement of Building Construction: The Case of a Concrete System Form

Lee

Lee²,

Kim

et al. 2020

Materials

View full text Add to dashboard Cite

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“…However, nowadays people's daily life has been flooded with numerous mobile applications [7]. In regards to M-medical APP, which APP should ordinary users choose to gain better medical experience?…”

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

“…Rajak and Shaw suggested a Fuzzy Multiple Attributes Decision Making (FMADM) methodologies, consisting of AHP and fuzzy TOPSIS, for accessing and selecting M-medical APPs. An evaluation structure was constructed considering nine main attributes, i.e., user satisfaction, compatibility, functionality, security, accessibility, easy to learn and use, empathy, information quality, responsiveness [7]. Chen developed a model, namely fuzzy geometric mean-FAHP, to assess the importance of critical factors influencing the application of smart technology to mobile health care [22].…”

Section: Related Literaturementioning

confidence: 99%

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Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Zhang

Ding

2020

IJERPH

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The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

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“…The AHP technique can facilitate decomposing and evaluating complex systems [20] and rank alternatives based on their degree of meeting the initial objective [21]. It has been applied in many fields such as plant selection for phytoremediation of petroleum-contaminated soils in shale gas and oil fields [22], 3D scanners for cultural heritage applications [19], strategies for sustainable energy planning [23], livelihood options for effective and sustainable rural development interventions [24], mobile health applications [25], and private investment preferences in the Chinese biogas sector [26]. The operation of an ECSS is a complex system and needs to be market-oriented.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD

Xue

Zhang

2019

Sustainability

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The combination of car-sharing and electric vehicles can increase the acceptance of electric vehicles and facilitate car-sharing to be a more sustainable means of transport. However, this also poses more challenges for the good planning of electric car-sharing systems. To assist car-sharing companies in improving the planning decisions, this paper developed an evaluation framework from a comprehensive view. In the first step, four evaluation criteria were identified according to the planning process: construction of stations; routine inspection; vehicle usability and relocation management; and the maintenance and replacement of stations. Then, a combinatorial method based on analytic hierarchy process (AHP), cost-benefit analysis (CBA), and Voronoi diagram (VD) is developed to determine the relative weight of the four criteria and evaluate the alternative. Finally, the evaluation framework was applied in a realistic case of EVCARD, which is the most influential electric car-sharing company in China. The performance of two different operational districts of EVCARD—Jingan and Changning—were compared. The results showed that vehicle usability and relocation management is the greatest criterion influencing the planning performance of the electric car-sharing system in China, and that routine inspection is a negligible but important factor. According to the relative scores, Jiagan District performed better than Changning district.

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Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS

Cited by 148 publications

References 113 publications

Analytic Hierarchy Process-Based Construction Material Selection for Performance Improvement of Building Construction: The Case of a Concrete System Form

Analytic Hierarchy Process-Based Construction Material Selection for Performance Improvement of Building Construction: The Case of a Concrete System Form

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD

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