Evaluating the Performance-Shaping Factors of Air Traffic Controllers Using Fuzzy DEMATEL and Fuzzy BWM Approach

In the air traffic management domain, a set of performance-shaping factors are defined to characterize how such influence overall performance controllers. While it is worth understanding nature these factors, including their priority for policymaking and strategy implementation, no research in extant literature has conducted an in-depth investigation this matter. Therefore, paper aims explore controllers by using fuzzy DEMATEL BWM—such methodologies classification as well corresponding vector. As illustration, case study Mactan Control Tower Civil Aviation Authority Philippines (CAAP) conducted. The key results hybrid methodology showed that causal ‘situation awareness,’ ‘communication,’ ‘teamwork,’ ‘vigilance,’ ‘and ‘attention.’ Effect ‘workload,’ ‘trust,’ ‘fatigue,’ ‘stress.’ Furthermore, ‘communication’ found be highest among other factors. can provide relevant insights decision-makers formulating programs strategies related improvement controllers’ performance. Note, however, limited identifying inherent characteristics ranking; specific plans action improving not provided. future direction, inputs obtained pave way more analysis