The work aims to study the new control strategy in order to reduce the paper quantification deviation, aiming at the difficulty of large time delay, nonlinearity and much interference in the quantitative control system of paper machine, and that the traditional PID control can no longer meet the increasingly higher production demand and good dynamic and static performances. On the basis of the traditional internal model control and internal model PID (IMC-PID) control, the fuzzy set value weighted IMC-PID algorithm control system was designed by combining the fuzzy algorithm. This control algorithm improved the performance index of the control system by setting the weighted coefficient of the set value of the proportional function part of the internal model PID controller online, and it was applied in the paper quantification for the comparison with the traditional control algorithm. Based on the comparison of traditional PID control and internal model PID control, the weighted IMC-PID algorithm based on fuzzy set value had good tracking ability and anti-jamming ability. The weighted IMC-PID algorithm based on fuzzy set value can effectively control the quantitative control system of paper machine, and can obviously improve the control accuracy and other performance indexes of the system.