TY - JOUR
T1 - Seismic Risk Analysis of Hospital Buildings
T2 - A Novel Interval-Valued Spherical Fuzzy ARAS
AU - Menekşe, Akın
AU - Akdağ, Hatice Camgöz
N1 - Publisher Copyright:
Copyright © 2022 by the authors.
PY - 2022
Y1 - 2022
N2 - Hospitals are vital infrastructures, but they can be particularly susceptible if located in an earthquake-prone area. Estimating the performance and projected damage of these structures in the event of future earthquakes is critical to minimize physical damage and disruption of surgery, rehabilitation, laboratory services, and other medical care operations. A quick and low-cost preassessment of the sensitivity of these structures will help hospital managements prepare for suitable retrofitting and reconstruction. On the other hand, a seismic risk assessment requires constructing a model that can offer expert opinions in a quantitative, methodical, and quantifiable way while still reflecting the uncertain and imprecise character of the process. This paper proposes a new decision support model by extending Additive Ratio Assessment (ARAS) with interval-valued spherical fuzzy sets. The study includes sensitivity and comparison analyses, practical implications, limitations, and future research avenues. The applicability of our methodology demonstrated a numerical example for assessing the seismic risk levels of hospital buildings.
AB - Hospitals are vital infrastructures, but they can be particularly susceptible if located in an earthquake-prone area. Estimating the performance and projected damage of these structures in the event of future earthquakes is critical to minimize physical damage and disruption of surgery, rehabilitation, laboratory services, and other medical care operations. A quick and low-cost preassessment of the sensitivity of these structures will help hospital managements prepare for suitable retrofitting and reconstruction. On the other hand, a seismic risk assessment requires constructing a model that can offer expert opinions in a quantitative, methodical, and quantifiable way while still reflecting the uncertain and imprecise character of the process. This paper proposes a new decision support model by extending Additive Ratio Assessment (ARAS) with interval-valued spherical fuzzy sets. The study includes sensitivity and comparison analyses, practical implications, limitations, and future research avenues. The applicability of our methodology demonstrated a numerical example for assessing the seismic risk levels of hospital buildings.
KW - ARAS
KW - Hospital Building Risk Assessment
KW - Interval-valued Spherical Fuzzy Sets
KW - MCDM
UR - http://www.scopus.com/inward/record.url?scp=85149665650&partnerID=8YFLogxK
U2 - 10.54560/jracr.v12i2.325
DO - 10.54560/jracr.v12i2.325
M3 - Article
AN - SCOPUS:85149665650
SN - 2210-8505
VL - 12
SP - 62
EP - 76
JO - Journal of Risk Analysis and Crisis Response
JF - Journal of Risk Analysis and Crisis Response
IS - 2
ER -