Optimizing Quality of Service (QoS) in network traffic management is essential for efficient data flow within a network. Fuzzy logic is a powerful tool for enhancing QoS, enabling intelligent decisions based on imprecise data. This paper outlines steps for QoS optimization using fuzzy logic, emphasizing the importance of QoS in network management. Fuzzy logic's role in addressing challenges is explored. It reviews relevant research, including applications in vehicular networks, software-defined networking, and more. The paper details a procedure for implementing fuzzy logic-based QoS optimization, estimation of network parameters, and mathematical equations for latency, throughput, and packet delivery ratio. It also discusses fuzzy logic-based control strategies for latency, throughput, and PDR enhancement.