航电系统体系贡献率权重演化动态综合评估

With the development of application requirements, the system characteristics of avionics system construction are becoming increasingly obvious, and the system contribution rate evaluation for the avionics system becomes the key to guide its iterative updatation and optimization design. Aiming at the weight evolution problem of the indicator system, which is caused by the accumulation of expert knowledge over time and the change in combat scenarios including swarm and collaboration, a dynamic comprehensive method for multi-stage evaluation of the system contribution rate of the avionics system is proposed. Based on the mission capability elements of the avionics system, an evaluation indication system for the system contribution rate is constructed, and the particle swarm optimization algorithm is applied to achieve the time weighting of the effective evaluation stages. Compared with the traditional static single evaluation and dynamic evaluation based on entropy weight method (EWM) or technique for order preference by similarity to an ideal solution (TOPSIS), the proposed method fully reflects the weight allocation information and takes into account the phase sequence differences, and can also reflect the evaluation results more accurately, such as the indicator contribution weight and the capacity contribution distribution, which provides more reliable and flexible dicision method support for the development demonstration of the avionics system.