Research on the Evaluation Model of New Quality Productive Forces in Enterprises

A productivity evaluation index system for enterprises is constructed, which distinguishes 4 primary indicators, 11 secondary indicators, and several tertiary indicators. The weights are determined using the Analytic Hierarchy Process. At the same time, based on the self-learning and generalization performance of neural networks, the weights are dynamically adjusted according to the actual situation through training with a large amount of information data. The final evaluation score of the new quality productive forces for enterprises is obtained by inputting it into the hierarchical structure model.