基于多子网语言决策图的空管体系绩效评估

为评估空管体系综合绩效水平，制定了关键绩效领域和指标，提出基于多子网语言决策图的群体评估模型。采用多子网策略分析领域及指标间的影响关系，应用语言尺度辅助群体专家建立了领域及指标间的初始判断矩阵和影响连接矩阵。给出了模型的求解方法，在求得各子网内准则的全局权重后，聚合即可得到体系的综合评估值。案例分析表明，相比于不考虑领域及指标间影响的情况，模型结果能更客观、全面地展示各领域及指标的权重，更显著地揭示空管体系间的差距。
For evaluating the performance of air traffic management system, a model based on linguistic decision map with multi-subnets was proposed as well as the indexes. The influences among indexes were analyzed by using a multi-subnets strategy, and the initial judgment matrices and influence connective matrices were built by multiple experts using linguistic scales. The proposed approach can achieve global priorities of indexes and evaluation results of alternatives. Finally, the case study illustrates that, in comparison with the independent situation, results of the model can represent priorities of indexes more objectively and comprehensively, and can present the gap among the alternatives more obviously.