A hybrid method for the capability evaluation of a far-sea naval ship repair and maintenance system based on binary semantic information and the evidential reasoning approach

Far-sea ship repair and maintenance capability evaluation is a typical complex system capability evaluation problem, and the corresponding evaluation indices include additional quantitative and qualitative indices. With the development of modern naval ships, higher requirements have been put forward for far-sea ship repair and maintenance. To accurately evaluate the capabilities of a naval ship's repair and maintenance system far at sea, a hybrid evaluation method based on binary semantic information and the evidential reasoning approach is proposed. First, we construct an evaluation indicator system to assess the capability of naval ship repair and maintenance systems. Second, based on binary semantic information and the analytic hierarchy process, a group expert weighting method is proposed to determine the weight distribution of the indicators. Finally, to address the multiattribute problem of the indicator system, a comprehensive evaluation method is proposed based on the evidential reasoning approach. The results of the calculation examples show that the proposed group expert weighting method and the hybrid evaluation method are feasible for capability evaluation of a naval ship's repair and maintenance system far at sea. By evaluating the calculation results, we can determine advantages and disadvantages in far-sea ship repair and maintenance, and through the sensitivity analysis of the evaluation indices, we can explore the contributions of different indices to the far-sea ship repair and maintenance capability, which can provide a theoretical reference for evaluating far-sea ship repair and maintenance. The results indicate that the method proposed in this paper can also be used as a general method in other similar studies.