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作 者:廖勇[1] 张丹 LIAO Yong;ZHANG Dan(College of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China)
机构地区:[1]中国民用航空飞行学院空中交通管理学院,四川广汉618307
出 处:《科技和产业》2025年第8期24-30,共7页Science Technology and Industry
基 金:四川省科技计划(23ZDYF0586);中国民用航空飞行学院博士创新能力提升计划项目(PHD2023-038);西藏科技计划项目(XZ202403ZY0014)。
摘 要:隐患排查是确保空中交通管制安全的重要手段,对隐患进行分级评估是提供隐患治理的重要依据。以管制的隐患为研究对象,以专家评估为基础,构建基于云模型的安全隐患分级模型。针对规章对隐患分级较为粗略的问题,为了提高评价的精度,在规章分级的基础上构建隐患评价等级。为了提高评价的准确性,采用专家群决策的方法对隐患等级进行评估。为了提升评估的客观性,在定性评估的基础上,引入云模型,开展定量评估。最后通过示例展示评估流程。研究结果表明,基于云模型的方法具有良好的可行性和适用性。Hidden danger investigation is a crucial method for ensuring the safety of air traffic control,and the graded assessment of hidden dangers serves as an important basis for their management.Focusing on the hidden dangers associated with air traffic control,a grading model was established based on cloud theory grounded in expert evaluations.In response to the relatively coarse categorization provided by existing regulations regarding hidden dangers,a more precise evaluation framework was developed to enhance the accuracy of assessments.To improve the reliability of these evaluations,a group decision-making approach involving experts was employed for assessing hidden danger levels.Furthermore,to enhance the objectivity of the evaluation process,a cloud model was introduced for quantitative assessment alongside qualitative analyses.Finally,an illustrative example was presented to demonstrate the evaluation procedure.The research findings indicate that the cloud model-based approach exhibits strong feasibility and applicability.
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