In recent years, surgical robots have become instrumental tools for assisting surgeons in performing complex surgical procedures in hospitals. Unlike conventional surgical methods, robotic systems help surgeons, for example, to perform minimally invasive surgical procedures while enhancing the precision and control of operations (e.g. tiny incisions, wound sutures, endoscopic suturing, among others). To this extent, it is essential to consider several factors that may influence the feasibility and decision making of employing robotic systems in surgical procedures. In this paper, we propose an IoT-based self-adaptive approach that uses multi-criteria decision analysis methods (MCDA) for enhancing the decision making of operations involving surgical robots. Throughout this paper, we present experimental validation results in utilizing MCDA as an effective strategy for enhancing the decisions of employing robotic systems in surgical procedures.

翻译：近年来,外科机器人已成为帮助外科医生在医院实施复杂外科手术手术的工具,与常规外科手术方法不同,机器人系统帮助外科医生实施最低侵入性外科手术程序,同时提高手术的精确度和控制度(例如小切口、伤口缝合、内窥镜线等),在这方面,必须考虑可能影响外科手术程序使用机器人系统的可行性和决策的若干因素。在本文件中,我们提议采用基于IoT的自我适应方法,使用多标准的决定分析法(MCDA),加强手术机器人操作的决策。我们在整个文件中介绍了利用MCDA作为加强手术程序使用机器人系统决策的有效战略的实验性验证结果。