Pre-shift State Assessment of Air Traffic Controllers Based on Improved Grey Correlation Theory

Abstract

In order to accurately assess the pre-shift competence of controllers, the thesis formulates eight assessment indicators affecting the pre-shift status of controllers based on the actual working conditions of controllers, the contents of pre-shift questioning and the existing research results. According to the partial correlation analysis, the rationality of the selected indicators is proved. The weights of the eight assessment indicators were determined by the entropy weight-CRITIC combination method, and the relative relevance of the indicators affecting the pre-shift status was further determined by applying the improved gray correlation theory, and the pre-shift status of the controllers was sorted according to the size of the relative relevance, and differentiated into three grades. Grade 1 controllers had the highest pre-shift status correlation, which indicated that they had the best pre-shift status and were able to carry out control work smoothly; Grade 2 controllers had medium pre-shift status correlation, which was affected by their age and long posting, and had average pre-shift status; Grade 3 controllers had the smallest pre-shift status correlation, which indicated that they were young and had short posting, and had average control ability and higher psychological pressure.