关键词: 管制单位, 质量安全绩效, 关键因素, 斯皮尔曼相关系数, 三角模糊熵权法, 物元可拓云模型

Abstract: In order to promote performance-based organization building and improve evaluation on quality and safety performance in air traffic control units, firstly, process factors were identified based on management points of standard regulations, and outcome factors identified from perspectives of flight safety, flight punctuality and service quality. Secondly, key factors that influenced quality and safety performance were determined by using Spearman correlation coefficient method. Then, an evaluation model was developed as a combination of matter element extension and cloud model based on triangular fuzzy entropy weight method. Finally, with a regional air traffic control unit as an example, the evaluation model was applied to determine its performance grade. The results show that there are 9 key factors for its quality and safety performance, including managers' commitment, risk management, unsafe incident conditions caused by air traffic control, etc, and its performance rating is ‘good'. Moreover, the model can solve problems of fuzziness, randomness and index incompatibility during evaluation process.

Key words: air traffic control units, quality and safety performance, key factors, Spearman correlation coefficient, triangular fuzzy entropy weight method, matter element extension and cloud model