Abstract: Integrating the advantages of the analytic hierarchy process (AHP) and grey relational analysis (GRA), this article proposes a novel method of grey relational analytic hierarchy (GRAH) to evaluate the selfrepairing control policies of unmanned aerial vehicles (UAV). It divides selfrepairing into four levels and associates them with evaluating values to solve the problem of evaluation standards for different selfrepairing policies. The evaluating indicators including definitions and calculation equations are presented. To reduce computational complexity effectively, this article transforms the consistency checking problem into a general statistical hypothesis testing problem. Then the whole evaluation model of GRAH is given based on the judgment matrices of multiexperts and the grey relational matrix. Finally, simulation results show the veracity and reliability of the method.

Key words: unmanned aerial vehicles, evaluation of self-repairing control policy, method of grey relational analytic hierarchy, self-repairing level, evaluating indicator system, consistency check