Akademik Veri Yönetim Sistemi
Journal of Operations Intelligence, cilt.2, sa.1, ss.1-13, 2024 (Scopus)
Improving public health affects society in many ways. Improved public health can lead to a longer and healthier life. Policymakers cannot address all these criteria at the same time due to both time and budget constraints. Therefore, priority strategies need to be formulated by determining the importance weights of these criteria. Accordingly, the purpose of this study is to evaluate the significance of the strategies determined for the development of public health. For this purpose, the analytic hierarchy process (AHP) method is considered to define the importance of the strategies. Within this scope, artificial intelligence methodology is integrated with spherical fuzzy sets. In this framework, the decision matrix of AHP is obtained by the artificial intelligence system. Next, the steps of spherical fuzzy sets are implemented. The main contribution of this manuscript is considering artificial intelligence methodology to create the decision matrix. Hence, the weights of the experts can be computed based on their qualifications. With the help of this approach, it may be possible for the opinions of experts with better qualifications to be taken into consideration with a higher coefficient. This situation has a positive contribution to increasing the accuracy of the findings. The findings indicate that accessibility is the most important strategy to improve public health. Similarly, vaccination and preventive services also play a significant role in this regard.