With the rapid expansion of information technology and its widespread applications, organizations have become increasingly reliant on IT, and the technologies they use have grown more complex. This has made managing IT and related services within organizations more challenging. In the banking sector, the development of IT-based services, such as electronic banking, has increased the need for effective methods to evaluate and enhance the quality of these services. This study proposes a comprehensive model for more accurate measurement of electronic banking service quality. Through an extensive literature review and consultation with experts, we identified and analyzed key factors affecting service quality. Given that customer satisfaction is recognized as a critical success factor in the banking industry, this research employs a Fuzzy Inference System (FIS) to analyze and model customer satisfaction data. By analyzing data collected from customers, the fuzzy model can predict satisfaction levels based on factors such as service awareness, service usability, and awareness. Comparative results indicate that the proposed fuzzy inference system improves customer satisfaction prediction accuracy by 15% compared to similar models. The findings of this study are expected to contribute to improved banking service quality and increased customer satisfaction.