Anesthesia plays a crucial role in ensuring the safe and effective management of surgical procedures in veterinary medicine. In particular, administering appropriate anesthesia doses to cattle presents unique challenges due to variations in individual physiology and the need for precise control to avoid under or over-anesthetizing animals. Fuzzy logic enables the modeling and control of complex systems by considering imprecision and uncertainty. In the context of anesthesia dose control, fuzzy logic allows for the incorporation of expert knowledge and the formulation of rules based on linguistic variables, making it suitable for addressing the variability inherent in cattle anesthesia. By employing fuzzy logic, the anesthesia dose control system can capture and interpret information from multiple inputs such as the animal's age, weight, breed, and overall health status. In conclusion, anesthesia dose control using fuzzy logic represents a valuable and promising approach for optimizing anesthesia administration in cattle. By leveraging the strengths of fuzzy logic, veterinarians and anesthesiologists can develop more reliable and adaptive systems, enabling safer and more efficient anesthesia management for bovine patients. Further research and development in this field hold great potential for advancing veterinary anesthesia practice and improving animal welfare in agricultural and clinical settings.