Balanced Evaluation for Flight Ground Support Process Based on Approximate Ideal Point Sort Method

The balanced optimization of flight ground support process is of great significance for the evaluation of balanced optimization scheme. However, existing studies seldom use the idea of combining subjective and objective to calculate the index weights for evaluating the equilibrium. Therefore, it is proposed to use analytic hierarchical process-entropy weight method to calculate the weights of each evaluation index, and then use the approximate ideal point sort method to make a comprehensive evaluation of the balanced optimization scheme. Finally, the correctness and rationality of the method are verified by examples. The results show that the equilibrium optimization scheme has significantly improved in terms of economy and adequacy.