Route Congestion Assessment Based on Multi-level Fuzzy Evaluation

被引：0
|
作者：
Zhao Yifei [1 ]
Shi Yongliang [1 ]
Yue Rentian [1 ]
机构：
[1] Civil Aviat Univ China, Air Traff Management Res Base, Tianjin 300300, Peoples R China
来源：
PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL. VIII, PTS A AND B | 2010年 / 8卷
关键词：
air traffic management; route congestion; index system; multi-level fuzzy evaluation;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
In order to avoid the weakness of route congestion assessment in our country, an evaluation index system is established and the multi-level fuzzy evaluation method is applied in this paper. Then, the principal components analysis method is applied to determine the main constraints factors so as to provide a decision for route congestion quickly. It is concluded by the example simulation that the index system is rational and the method is feasible.
引用
收藏
页码：2047 / 2051
页数：5
相关论文
共 50 条
  • [41] Neural Network Based Multi-level Fuzzy Evaluation Model for Mechanical Kinematic Scheme
    BO RuifengLI Ruiqin Department of Mechanical EngineeringNorth University of ChinaTaiyuan China
    武汉理工大学学报, 2006, (S1) : 301 - 306
  • [42] Study on evaluation model of regional logistics environment based on multi-level fuzzy theory
    Yuan Lina
    Gao Wenhai
    Lu Yanli
    Wang Ning
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 6644 - +
  • [43] Study on Geothermal Energy Utilization Technology evaluation Based on AHP and Multi-Level Fuzzy Comprehensive Evaluation
    Zhang, Xuhui
    Xiong, Guilong
    Cui, Fuxing
    Zhao, Qingchuan
    Liu, Haojie
    2018 INTERNATIONAL CONFERENCE ON AIR POLLUTION AND ENVIRONMENTAL ENGINEERING (APEE 2018), 2018, 208
  • [44] Fault diagnosis based on fuzzy information multi-level fusion
    Meng, Xian-Yao
    Dai, Li-Xiong
    Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University, 2008, 34 (04): : 48 - 51
  • [45] Fuzzy model based on multi-level fuzzy information granulation for regression estimation
    Wang, L. (linda_gh@sina.com), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09):
  • [46] Multi-level fuzzy evaluation method for civil aviation system safety
    Ma, Guozhong
    Mi, Wenyong
    Liu, Xiaodong
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2007, 42 (01): : 104 - 109
  • [47] Multi-level information fusion to alleviate network congestion
    Lai, Joel Weijia
    Chang, Jie
    Ang, L. K.
    Cheong, Kang Hao
    INFORMATION FUSION, 2020, 63 (63) : 248 - 255
  • [48] Research on the Risk of Network Planned Duration Based on Multi-Level Fuzzy Comprehensive Evaluation Method
    Wei, Daosheng
    Kong, Zheng
    PROCEEDINGS OF THE 16TH INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE (CRIOCM2011), 2011, : 426 - 429
  • [49] Multi-level Evaluation model for Intangible Cultural Heritage Status Based on Fuzzy set theory
    Kuang, Yuxiang
    Hu, Minghui
    Wu, Qun
    2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2015, : 572 - 576
  • [50] A Multi-Level Fuzzy Evaluation Method for the Reliability of Integrated Energy Systems
    He, Pei
    Guo, Yangming
    Wang, Xiaodong
    Zhang, Shiqi
    Zhong, Zhihao
    APPLIED SCIENCES-BASEL, 2023, 13 (01):
12345