The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.

中文翻译：

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用多准则决策（AHP和TOPSIS）评估医疗物联网在模糊环境下克服障碍的挑战

创新的指数级速度已经扩大了所有用户使用其24/7 Internet上所有信息的需求。物联网（IoT）使智能对象可以在普及框架的开发中开发重要的构建块。对象之间的消息传递对于企业来说意味着最少的工作和最少的花费。打算在其组织中实施医疗物联网（IoMT）的行业仍面临困难。认识和解决这些挑战是一项耗时的任务，并且如果未进行充分评估和确定优先顺序，还需要大量费用。物联网的应用几乎涵盖了每个领域，包括医疗/保健。在这项研究中 作者调查了与医疗物联网有关的因素。这项研究的结果是，通过模糊逻辑和多准则决策（MCDM）技术（如“基于理想解决方案的相似性优先排序技术”（TOPSIS）和层次分析法）对导致这些挑战的要素的重要性进行优先级排序（AHP）。对于企业而言，节省时间和收益将是有益的。在与医疗物联网专家磋商后，确定了主要标准和子标准。在这项研究中，我们的目标是弄清楚哪些标准/因素在采用医疗物联网方面造成障碍。通过调查 我们认为，在医疗物联网的过渡阶段，该行业应给予20项标准更多的重视/偏好。在这项研究的帮助下，企业将能够通过限制时间和财政上的不幸来加速采用该技术。