Automated early warning for ATM safety risks based on fuzzy reasoning
Date
2013
Authors
Heng, X.
Man, L.
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Information Technology Journal, 2013; 12(17):4188-4191
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Abstract
The establishment of an automated risk early warning mechanism closely linked to the air traffic flow management system and information management system plays a positive role in ATM risk management. In this study, a fuzzy reasoning-based approach was proposed to effectively extract the key ATM risk factors for establishing a rapid early warning mechanism. The fuzzy IF-THEN rules were used to build up a fuzzy rule base on the base of experts' knowledge and then through a multi-input fuzzy logic, the different kinds of the unsafe models were ranked. Finally, an extraction of key attributes for ATM safety risks early warning was realized. The result is that the most important attribute is weather conditions, followed by controller's ability in handling large flows and the influences from military activities rank in the third place. The use of this approach is an exploration in the intelligent warning technology for ATM safety risks.
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Copyright 2013 Asian Network for Scientific Information