Abstract
Air traffic control (ATC) is a crucial aspect of safe air travel. There have been dozens of documented incidents that compromised the safety of passengers, crew, and bystanders–many of which are due to faulty decision-making from the ATC personnel. A potential way to mitigate the risk of these incidents is through Fuzzy Logic; by implementing a robust and explainable fuzzy inference system, ATC would receive expert recommendations from enormous amounts of historical data in a timely manner. This paper explores the benefits of implementing a fuzzy inference system to monitor air traffic.
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Mulligan, D., Cohen, K. (2023). Air Traffic Control Using Fuzzy Logic. In: Cohen, K., Ernest, N., Bede, B., Kreinovich, V. (eds) Fuzzy Information Processing 2023. NAFIPS 2023. Lecture Notes in Networks and Systems, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-031-46778-3_3
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DOI: https://doi.org/10.1007/978-3-031-46778-3_3
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