An IT2FBWM Model to Highlight the Significance of Factors Utilized in Determining Pandemic Hospital Site Selection


AYÇİN E., Kayapinar Kaya S., Ecer F.

in: Studies in Fuzziness and Soft Computing, Springer International Publishing Ag, pp.145-162, 2023 identifier

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2023
  • Doi Number: 10.1007/978-981-19-4929-6_7
  • Publisher: Springer International Publishing Ag
  • Page Numbers: pp.145-162
  • Keywords: BWM, Interval type-2 fuzzy numbers, IT2FBWM, MCDM, Pandemic hospital siting factors
  • Kocaeli University Affiliated: Yes

Abstract

The COVID-19 pandemic has spread to the world in a short time since its emergence in Wuhan, China, and mobilized international health authorities with its effects, continues its development seriously. Due to the fast spread of COVID-19, governments have made some decisions to build new temporary hospitals for patients infected with COVID-19. This situation increased the importance of the site selection process for a pandemic hospital during the current critical time. Site selection of a hospital can be considered as multi-criteria decision-making (MCDM) problem since it includes multiple factors. This paper applies an analytical tool for evaluating the criteria of the site selection of a pandemic hospital. For this purpose, the extended best–worst method with trapezoidal interval type-2 fuzzy numbers (IT2FBWM) is employed to determine the importance weights of the pandemic hospital site selection criteria. The paper’s findings point out that the IT2FBWM model can help decision-makers determine the importance weights of the criteria used in the pandemic hospital siting decisions.