This paper investigates the problem of a combined study on both electric vehicle (EV) drivers’ behavior in charging station selection (DSS) and station’s behavior in charging service management (CSM) that are considered in the proposed DSS-CSM algorithm. The motivation behind the proposed algorithm is to comprehensively describe a charging market from both drivers’ point of view to reduce range anxiety and enhance customer satisfaction and charge station providers’ point of view to manage charging station properly and improve profitability. The proposed DSS algorithm obtains all the required data to find the best station in terms of the influential parameters given by the candidate stations. A fuzzy multi-criteria decision-making (FMCDM) method that is utilized in the proposed DSS algorithm is deployed for evaluating the parameters and deciding for the best charging station. Moreover, the proposed CSM algorithm of each charging station is utilized to maximize its profitability by taking into account the charge, reserve, and discount prices with respect to the reaction of EV drivers. The Monte Carlo simulations are applied to demonstrate the effectiveness of the proposed algorithm in comparison with a designed benchmark algorithm.