Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/2265 2018 2018 Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Walter Walter Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Fausto Vizcaíno Naranjo Docente de la carrera de Automotriz de la Universidad Regional Autónoma de los Andes (UNIANDES) Sede Santo Domingo, Ecuador Antonio Castillo Medina Groundwater recharge is essential in establishing reliable groundwater supplies in a region. Groundwater is a vital natural water resource, but its quantity and quality may vary significantly from one area to another. Growing urbanization and population increase have put a significant demand on groundwater supplies. Using Multi-Criteria Decision-Making (MCDM), several studies have identified good areas for recharging groundwater supplies. To help choose between several types of artificial recharge (AR) structures, we have developed an MCDM approach for this research. We used an MCDM fusion methodology to combine various AR criteria with the alternatives. This study collected eight criteria and eight alternatives. We used the average method to compute the weights of the criteria. Then, we used the COCOSO method as an MCDM fusion method to rank the alternatives. The results show that hydrological conditions are the best criteria, and stakeholder engagement is the lowest weight. The sensitivity analysis is performed to show the stability of the results in this study.  2024 2024 129 137 10.54216/FPA.140110 https://www.americaspg.com/articleinfo/3/show/2265