“…Compared to other pairwise comparison-based methods such as the analytic hierarchy process (AHP), BWM is more efficient with respect to the amount of data that has to be collected to arrive at the weights and has been shown to have a higher reliability (Rezaei, 2016). The BWM has been applied to several real-world problems in other domains including technology management (Gupta & Barua, 2016), logistics (Rezaei, van Roekel, & Tavasszy, 2018;Rezaei, van Wulfften Palthe, Tavasszy, Wiegmans, & van der Laan, 2019), supplier selection and segmentation (Haeri & Rezaei, 2019;Rezaei et al, 2015;Rezaei, Nispeling, Sarkis, & Tavasszy, 2016), assessing the quality of scientific outputs (Salimi, 2017), energy (Kheybari, Kazemi, & Rezaei, 2019), and risk management (Torabi, Giahi, & Sahebjamnia, 2016. Using BWM and the data collected from the 23 experts, we obtained the optimal weights of the indexes (w 1 * , w 2 * , …, w n * ) (see Table 5). Of the three indexes used in the study, the Democracy Index received the largest weight (0.368), and the Human Development Index (0.317) and the EPI (0.314) came second and third respectively (the sum of weights is one).…”