Achieving efficient and stable temperature regulation remains a challenge for both industrial and domestic applications, especially where conventional PID control methods require precise modelling and struggle with nonlinear or uncertain systems. This paper presents a fuzzy logic–based temperature control system that improves performance by mimicking human decision-making. By using temperature error and change in error as input variables and processing them with linguistic rules, the proposed controller effectively manages uncertainties to achieve smoother, more reliable control. Simulation and experimental data confirm that this fuzzy controller reduces overshoot, provides faster responses, and enhances stability compared to traditional methods. Its design shows clear potential for use in industrial heating, smart homes, and thermal management.