| 引用本文: | 马跃飞,陈峰,姚頔,等.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.[点击复制] |
| MA Yuefei,CHEN Feng,YAO Di,et al.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[点击复制] |
|
| |
|
|
| 本文已被：浏览 7365次 下载 6087次 |
| 基于多子网语言决策图的空管体系绩效评估 |
| 马跃飞1,2, 陈峰3, 姚頔3, 武小悦1 |
|
(1. 国防科技大学 系统工程学院， 湖南 长沙 410073;2.3. 中国人民解放军92493部队， 辽宁 葫芦岛 125000;3.2. 国家空域管理中心， 北京 100094)
|
| 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 |
| DOI：10.11887/j.cn.201706020 |
| 投稿日期：2016-08-12 |
| 基金项目:国家自然科学基金资助项目（71401170） |
|
| Air traffic management system performance evaluation based on linguistic decision map with multi-subnets |
| MA Yuefei1,2, CHEN Feng3, YAO Di3, WU Xiaoyue1 |
|
(1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;2.3. The PLA Unit 92493, Huludao 125000, China;3.2. State Airspace Management Center, Beijing 100094, China)
|
| Abstract: |
| 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. |
| Keywords: air traffic management system performance assessment linguistic decision map group decision making |
|
|
|
|
|
