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Assessing the suitability of smart technology applications for e-health using a judgment-decomposition analytic hierarchy process approach

机译：评估使用判断分解分析层次方法方法对电子健康的智能技术应用的适用性

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摘要

Smart technologies have been extensively applied to e-health. However, whether existing smart technology applications for e-health are sustainable is questionable. To assess the sustainability of a smart technology application for e-health, this study proposes the judgment-decomposition analytic hierarchy process (JD-AHP) approach. In the proposed JD-AHP approach, a decision-maker's judgment matrix is decomposed into several subjudgment matrices that are more consistent than the judgment matrix and that represent diversified viewpoints for assessing the sustainability of a smart technology application for e-health. Then, the priorities of factors critical to sustainability are derived from the subjudgment matrices by optimizing a mixed-integer nonlinear programming model. The JD-AHP approach was applied to assess the sustainabilities of 10 smart technology applications for e-health. According to the evaluation results, smart clothes had the least sustainability, whereas smart glasses and smart wheelchair had uncertain sustainabilities.
机译：智能技术已被广泛应用于电子健康。但是，是否可持续可持续的现有智能技术应用是可疑的。为了评估智能技术应用对电子健康的可持续性，本研究提出了判断分解分析层次方法（JD-AHP）方法。在所提出的JD-AHP方法中，决策者的判断矩阵被分解成多个判断矩阵，该矩阵比判断矩阵更加一致，并且代表了用于评估智能技术应用于电子健康的智能技术应用的可持续性的多元化观点。然后，通过优化混合整数非线性编程模型来源于对可持续性至关重要的因素的优先级。采用JD-AHP方法来评估10个智能技术应用的可持续性，用于电子健康。根据评估结果，智能衣服的可持续性最少，而智能眼镜和智能轮椅具有不确定的可持续性。

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