Multi-criteria Performance Evaluation Framework for Humanitarian Relief Organizations Using Spherical Fuzzy-TOPSIS

Abstract

In recent decades, the world has seen a rise in global disasters’ variety, frequency, and intensity. As a result, humanitarian relief organizations (HROs) around the world are working hard to save lives and help survivors in disaster-prone areas with inadequate infrastructure. In these processes, the performance of HROs is crucial. Hence, well-planned and well-executed preparedness and response efforts of HROs can greatly reduce the negative consequences of disasters on society, the economy, and the environment. In this study, the performance evaluation of HROs is discussed by using Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) with spherical fuzzy sets. The originality of the study stems from the fact that the Spherical fuzzy TOPSIS (SF-TOPSIS) technique, which is new to the literature, is applied for the first time in a case study to the problem of evaluating the performance HROs. © 2023 Elsevier B.V., All rights reserved.