Different core companies have different requirements and standards for the collaborative enterprises associated with the cloud platform, and the collaborative enterprises to be evaluated have different objective features. In order to select the best collaboration companies for the core enterprises of the after-sales automotive service supply chain cloud platform, the weight coefficient of the evaluation index of each cooperative enterprise is determined by the comprehensive weighting method based on the combination of the analytic hierarchy process method and the fuzzy rough set method. The subjective weight is determined by the analytic hierarchy process, and the objective weight is determined by the fuzzy rough set method. The comprehensive weight coefficient is achieved by reintegrating the main and objective weights. Finally, based on the extension discriminant method, the evaluation object is evaluated by the degree of goodness. The result is the ranking of each appraisal object and the order of the advantages and disadvantages. The actual service data of the after-sales service supply chain cloud service platform for the after-sales service is used as an example for comparative analysis. The results demonstrate the effectiveness and feasibility of the method, which are superior to other evaluation methods.