Green development is an integral part of high-quality development, and green restoration is an essential part of current sustainable development. How to evaluate the level of green restoration scientifically has become an important task. Complexity and uncertainty in the evaluation process bring challenges. Based on this, in the context of probabilistic hesitant Fermatean fuzzy environment, this paper proposes to develop a framework for regional green restoration level evaluation by extending the MULTIMOORA method. The probabilistic hesitant Fermatean fuzzy set(PHFFS) is used to express the comprehensive evaluation information value. The evaluation information aggregated by the Dombi Choquet integral geometric operator (PHFFDCIG) is more qualified than other operational methods, and the flexibility of information aggregation can be enhanced by adjusting the parameters. Then, the reference point and full multiplication form method in the subsystem of the traditional MULTIMOORA method is improved. Combined with Choquet integral and improved Borda rules, an improved PHFFS-MULTIMOORA method is proposed to model the interaction between the evaluation indicators of the regional green repair level, so as to capture the weight of its importance to determine the priority of the green repair level in the area. Finally, the case study and sensitivity analysis test of green restoration level evaluation in five provinces and cities along the Yangtze River Economic Belt verify the accuracy, effectiveness and practicability of the established model framework.