中国民航大学学报

• 管理科学 • 上一篇    下一篇

基于粗糙集的雷达模拟机培训质量综合评价研究

何昕1,2,罗亮2,陈海杰3   

  1. (1.西南交通大学交通运输与物流学院,成都610031;2. 中国民用航空飞行学院空中交通管理学院,广汉618307;3.民航中南空管局,广州510405)
  • 收稿日期:2014-05-14 修回日期:2014-07-13 出版日期:2015-10-21 发布日期:2015-11-10
  • 作者简介:何昕(1979—),女,浙江浦江人,副教授,博士研究生,研究方向为空中交通管理.
  • 基金资助:

    中国民用航空局科技基金项目(MHRDZ200806)

Comprehensive assessment research for radar simulator training achievements based on rough set

HE Xin1,2,LUO Liang2,CHEN Hai-jie3   

  1. (1. School of Transportation and Logistic,Southwest Jiaotong University,Chengdu 610031,China;
    2. School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,China;
    3. Central and Southern Regional Administration,CAAC,Guangzhou 510405,China)
  • Received:2014-05-14 Revised:2014-07-13 Online:2015-10-21 Published:2015-11-10

摘要:

为了提高雷达管制模拟机培训质量评价的准确性和有效性,减少评判者的主观差异对评判结果的影响,提出了一种基于粗糙集理论的综合评价方法。建立了科学的雷达管制模拟机培训质量综合评价指标体系及信息系统;使用基于Pawlak 属性重要度的属性约简算法约简信息系统,简化了评价指标体系;采用基于属性重要度的方法确定指标权重,保证了评价的客观性。结果表明,提出的评价方法可减少管制教员的主观影响,能真实反映雷达管制学员的水平,对于提高雷达管制培训质量有着重要意义。

关键词: 雷达模拟机, 粗糙集, 属性约简算法, 综合评价

Abstract:

In order to improve precision and availability of radar simulator training achievements assessment and reduce the effects of evaluators'subjectivity diversities on evaluation results,an assessment method based on rough set theory is proposed. With this method,the index system of radar simulator training achievements assessment is set up and the information system based on rough set theory is built;unnecessary attributes are eliminated by using the heuristic reduction algorithm based on Pawlak attribute importance degree,and the index system is simplified;weights of evaluation indeices are determined based on the importance degree index information.Evaluation result shows that evaluation cost and evaluators'influence on evaluation results can be reduced by using the proposed method in radar simulator training achievements assessment.

Key words: radar simulator, rough set, heuristic reduction algorithm, comprehensive assessment

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