Can I read Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets on EtoBox?

Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets by Aslı Çalış Boyacı; Aziz Şişman is a Environmental Science article available to read on EtoBox.

What is Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets about?

COVID-19 poses many challenges for hospitals around the world. Each country attempts to solve the problems in its hospitals using different methods. In Turkey, two pandemic hospitals were built in İstanbul, the most crowded province. In addition, some hospitals were designated as pandemic hospitals. This study focuses on the methods used for site selection for a pandemic hospital in Atakum, a district of Samsun City, Turkey. As a solution to the problem, initially, spatial analysis was performed using GIS to produce maps based on seven criteria obtained from the insight of an expert team. Analytic hierarchy process (AHP) augmented by interval-valued Pythagorean fuzzy numbers (PFNs) was then used to determine weights for the criteria. Distance to transportation network was the most important criterion influencing the selection process and the least significant one was the distance to fire stations. Based on the criteria weights, and five rules specified by the expert team, 13 suitable locations for a pandemic hospital were determined using GIS. The technique for order preference by similarity to ideal solution (TOPSIS) method was used to determine the final ranking of 13 alternative

Who reads Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets?

Author

Aslı Çalış Boyacı; Aziz Şişman

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)