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基于多子网语言决策图的空管体系绩效评估
引用本文:马跃飞,陈峰,姚頔,武小悦.基于多子网语言决策图的空管体系绩效评估[J].国防科技大学学报,2017,39(6):134-142.
作者姓名:马跃飞  陈峰  姚頔  武小悦
作者单位:国防科技大学 信息系统与管理学院,国家空域管理中心,国家空域管理中心,国防科技大学 信息系统与管理学院
基金项目:国家自然科学基金项目(71401170)
摘    要: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。

关 键 词:空管体系  绩效评估  语言决策图  群体决策
收稿时间:2016/6/12 0:00:00
修稿时间:2016/8/18 0:00:00

Air Traffic Management System Performance Evaluation Based on Linguistic Decision Map with Multi-subnets
MA Yuefei,CHEN Feng,YAO Di and WU Xiaoyue.Air Traffic Management System Performance Evaluation Based on Linguistic Decision Map with Multi-subnets[J].Journal of National University of Defense Technology,2017,39(6):134-142.
Authors:MA Yuefei  CHEN Feng  YAO Di and WU Xiaoyue
Institution:1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; 3. The PLA Unit 92493, Huludao 125000, China,2. State Airspace Management Center, Beijing 100094, China,2. State Airspace Management Center, Beijing 100094, China and 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
Abstract:For evaluating the performance of air traffic management system, a model based on linguistic decision map with multi-subnets is proposed as well as the indexes. The influences among indexes are analyzed by using a multi-subnets strategy, and the initial judgment matrices and influence connective matrices are built by multiple experts using linguistic scales. The solving 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 the gap among the alternatives more obviously.
Keywords:air  traffic management  system  performance  assessment  linguistic  decision map  group  decision making
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