In order to solve the problem that the unity of the transformer state evaluation index leading to low reliability of the transformer state evaluation, a transformer state evaluation model based on hierarchical weighting and discrete fuzzy numbers is proposed. First, an evaluation system is formed by constructing an analytic hierarchy model to correlate multiple key indicators of transformer equipment. Furthermore, in order to distinguish the evaluation grades more reasonably and reduce the intersection and similarity between different grades, multi-level fuzzy language was used to describe the state of the transformer, and the equipment evaluation based on multi-index was mapped to the membership space. Finally, the equipment status was determined according to the principle of membership. Finally, the test on actual cases shows that the model evaluation level is basically consistent with the actual transformer state. It is verified that the evaluation results based on the above model can reasonably reflect the transformer state, thus providing a reference for power system equipment evaluation, decision-making, maintenance, and extension of equipment life.