Traditional development of wireless rechargeable sensor networks (WRSNs) focused on charger deployment, but recent research overlooked the efficient use of multiple chargers in 2-D or 3-D networks and multi-node energy transfer. This paper proposes a novel approach to address these challenges by modeling the charging scheduling problem in WRSNs with multiple Wireless Charging Vehicles (WCVs) as a multi-criteria decision-making problem. The approach involves two steps, including the enhanced k-means clustering for dividing tasks and traffic distribution and using a Fuzzy logic system to prioritize and optimize charging requests. Our extensive simulations demonstrate the effectiveness and competitiveness of our scheme, showing superior performance compared to prior approaches.