ABSTRACT
The highly complicated task of airport management imposes the existence of a successful risk management framework that must ensure resilience for airports projects; this paper presents the development of a fuzzy system—based risk analysis method that could successfully serve this goal. The method introduces a set of risks of different nature in a two-step process: a) identification and classification through literature review, and b) validation and final ranking through a questionnaire survey that qualitatively assesses the risks impact to the fundamental project performance variables, namely cost, time and quality. The risk identification and quality analysis processes allow for the development of a fuzzy system that performs a quantitative risk analysis based on the analyst’s estimation for the severity and possibility of occurrence of various risks. The proposed method constitutes an effective approach in managing risks in airports ensuring achievement of high operational performance.
