A Hybrid Fuzzy Multi-Criteria Decision-Making Approach for Mitigating Air Traffic Congestion

This paper presents a novel hybrid MCDM approach based on concepts of fuzzy DEMATEL, ANP, and fuzzy TOPSIS to address air traffic congestion in the Philippines. The proposed approach enables the decision-makers under the Air Traffic Services (ATS) to elicit judgment on which ATFM action (i.e., ground holding, airborne holding, rerouting, and speed controlling) is most suitable to be applied in the occurrence of air traffic congestion. A case study at Mactan Cebu International Airport (MCIA) is conducted to illustrate the application of the proposed framework based on pairwise comparison among criteria and evaluation of ATFM actions with respect to the previously given set of criteria. The results revealed that the decision-makers are most concerned with the criterion on safety. Correspondingly, ground holding is perceived to be the most suitable ATFM action to be applied during air traffic congestion as its degree of safety once implemented is highest.