Abstract
Rapidly growing air traffic and increasingly unstable climatic conditions have brought great pressure to bear on airport and airline Safety Management Systems (SMSs). Each item of airport infrastructure is designed to certain environmental specifications, which defines the pilot's perception of the risk of air accidents or incidents. This paper presents a fuzzy-logic methodology for measuring aviation accident risks at airports, based on the perceptions of a sample of pilots operating at the airport in question. The methodology is applied to two airports in the city of Rio de Janeiro. The results show the pilots' perceptions related to the most likely types of accident and the risks that should be prioritised in airport and airline SMSs.
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