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Article type: Research Article
Authors: Yılmaz, Melike; * | Atan, Tankut
Affiliations: Department of Industrial Engineering, Bahçeşehir University, Beşiktaş, Istanbul, Turkey
Correspondence: [*] Corresponding author. Melike Yılmaz, Department of Industrial Engineering, Bahçeşehir University, Beşiktaş, Istanbul, 34353, Turkey. Tel.: +90 212 381 56 47; Fax:+90 212 381 05 50; E-mail: [email protected].
Abstract: 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.
Keywords: Hospital site selection, health care planning, multi-criteria decision making, fuzzy EDAS, fuzzy TOPSIS
DOI: 10.3233/JIFS-201757
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 2, pp. 2591-2602, 2021
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