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


AYÇİN E., Kayapinar Kaya S., Ecer F.

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

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/978-981-19-4929-6_7
  • Yayınevi: Springer International Publishing Ag
  • Sayfa Sayıları: ss.145-162
  • Anahtar Kelimeler: BWM, Interval type-2 fuzzy numbers, IT2FBWM, MCDM, Pandemic hospital siting factors
  • Kocaeli Üniversitesi Adresli: Evet

Özet

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.