Research Information System
International Conference on Intelligent and Fuzzy Systems, INFUS 2021, İstanbul, Turkey, 24 - 26 August 2021, vol.308, pp.589-597, (Full Text)
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.This study aims to develop a model for location-allocation decisions (LAD) for the different types of hospitals’ during Corona Virus 2019 (COVID-19) pandemic. Long-term hospital LAD are accepted as a long-term strategy and take a long time to reach a decision. However, after the beginning of the COVID-19 pandemic, the decision-makers aim to reach their patients as immediately as possible. Thus, decision-makers are planning to increase the capacity of regional or country-wide health systems by adding new hospitals. However, during LAD processes, the decision-makers face imprecision due to the inherited uncertainty of main parameters that must be paid attention to make decisions applicable. Therefore, the decision-makers must give a decision in a short time in a more imprecise environment. For this purpose, Pythagorean Fuzzy Sets (PFS), which are recognized as generalized intuitionistic fuzzy sets with a broader range of applications, are utilized. PFS is one of the most recent tools for dealing with imprecision and a method for removing uncertainty from decision-making processes. This study is one of the first research on applying PFS and making inferences to increase the accuracy of decisions during the COVID-19 pandemic. To show the usability of the proposed model, a case study is provided assuming each candidate location has different specifications which are shown as PFS. Therefore, the LAD model for short-time hospitals related to COVID-19 pandemic conditions is proposed by using a PFS relation called max–min–max composition to ascertain the suitability of decisions.