Research on Airport Clearance Risk Assessment Based on Combination Weighting Method - Cloud Model

Abstract

To address the problems existing in the current domestic airport clearance safety evaluation system, such as static indicator system, subjective weight allocation, and difficulty in dynamic adjustment, a three - level evaluation indicator system covering three modules, namely regulatory system guarantee, obstacle control, and operation monitoring, was constructed. Subjective opinions were collected through expert questionnaires, and the combination weighting method combining Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) was used to quantify the importance of each indicator. The cloud model was introduced to model the uncertainty in the evaluation results, and a dynamic adjustment mechanism for risk levels and indicator thresholds was proposed. Taking a certain airport as a case study, the verification results show that this system can effectively identify high - risk indicators, clarify the boundaries of risk classification, and significantly improve the evaluation efficiency and operability.