Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2283 2019 2019 Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Rita A. Díaz Và Vásquez Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Marcos L. Flores Docente de la carrera de Automotriz de la Universidad Regional Autónoma de los Andes (UNIANDES) Sede Santo Domingo, Ecuador Esteban L. Espinel An essential part of electrifying bus networks is deciding on the appropriate charging strategy among the many available alternatives, such as opportunistic (rapid) charging techniques and overnight (slow) charging. The broad usage of electric buses in public transportation networks and the increasing demand for environmentally friendly transportation options have elevated the significance of this step. This research establishes a multi-criteria decision-making (MCDM) fusion method for choosing the optimal electric bus charging strategy by considering various variables, including operational, quality-of-service, social, environmental, and economic factors. To determine what matters most for making decisions in this field, we surveyed electric bus specialists and reviewed the literature extensively. We used the TOPSIS method as an MCDM fusion method to combine the criteria and alternatives. We compute the weights of criteria by the average method. Then, the TOPSIS fusion method selects and ranks the alternatives. We collected the 20 criteria and five alternatives in this study. We show that overnight is the best charging strategy in the electric bus system. We performed a sensitivity analysis to show the different cases in criteria weights, then ranked the alternatives under different weights to establish the stability of the results. 2024 2024 65 74 10.54216/JISIoT.110107 https://www.americaspg.com/articleinfo/18/show/2283