As the Covid-19 pandemic also proved, access to health care plays a crucial role in our lives. Public officials, managers and investors should consider many criteria such as public infrastructure, environment, accessibility and demand for selecting the most appropriate site for a new hospital. Thus, the hospital site selection problem is a critical multi-criteria decision-making (MCDM) problem. This paper is a case study for İstanbul where a recent MCDM methodology, the fuzzy Evaluation based on Distance from Average Solution (EDAS) method, is applied to this problem for the first time. We used a comprehensive set of five main criteria and 17 sub-criteria found in the relevant literature regarding hospital site selection. These criteria were evaluated by three decision-makers to choose the hospital site from three districts. The recommendation of the fuzzy EDAS method was then compared to the outcome of a frequently used fuzzy MCDM method. The methods resulted in different site recommendations.

中文翻译：

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使用模糊 EDAS 方法的医院选址：伊斯坦布尔地区的案例研究应用

正如 Covid-19 大流行所证明的那样，获得医疗保健在我们的生活中起着至关重要的作用。公职人员、管理人员和投资者应考虑许多标准，例如公共基础设施、环境、可达性以及为新医院选择最合适地点的需求。因此，医院选址问题是一个关键的多标准决策（MCDM）问题。本文是伊斯坦布尔的案例研究，最近的 MCDM 方法，即基于平均解距离 (EDAS) 方法的模糊评估，首次应用于该问题。我们使用了有关医院选址的相关文献中的五个主要标准和 17 个子标准的综合集。这些标准由三位决策者评估，以从三个地区选择医院地点。然后将模糊 EDAS 方法的建议与常用的模糊 MCDM 方法的结果进行比较。这些方法导致了不同的站点推荐。