In order to solve the shortcomings of the current multi-attribute decision-making analysis in dealing with the uncertainty, this paper proposes an evaluation method of equipment support resources based on evidential reasoning. To obtain the evaluation level, various types of information under uncertainty is integrated. Firstly, the evaluation index system of equipment support resources is established and the weights are obtained from expert knowledge. Then, the data of index is transformed into an unified belief framework using the rule-based transformation techniques, and the evaluation model is developed based on evidential reasoning. Aiming at the difficulty of subjective determination of model parameters, a nonlinear optimization model is proposed and the optimal parameters are obtained based on the projection covariance matrix adaptation evolution strategy. A practical evaluation and comparative analysis example of a unit's equipment support resources are studied to validate the effectiveness of the proposed evaluation method.