Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments

Abstract

The development of an emergency will cause difficulties in the selection of emergency locations. The COVID-19 pandemic has caused the establishment of emergency medical facilities to become more important and urgent. However, the selection of emergency locations usually involves unclear assessment information, uncertain information, and unacquirable partial information. Due to incomplete evaluation information, traditional fuzzy set and intuitionistic fuzzy set methods cannot effectively deal with the selection problem of emergency locations. In order to effectively solve the selection problem of emergency locations during an emergency, this paper integrated the spherical fuzzy set and subjective and objective weight considerations to provide correct and reasonable evaluation results for the selection of emergency locations. For the numerical verification, this paper applied the selected location for an emergency temporary hospital during the COVID-19 pandemic location in Istanbul, Turkey as an illustrative example and compared the differences in the calculation results among the proposed flexible emergency location selection method, the spherical weighted arithmetic mean method and the spherical aggregation operator method. The numerical verification assessment results demonstrated that the proposed flexible emergency location selection method not only can deal with unclear, uncertain, and even unacquirable partial information at the same time, but also can consider the subjective and objective weights of assessment data, which could provide effective and correct emergency location selections under spherical fuzzy environments.