An Assessment Model for Air Passenger Risk Classification

Abstract

In order to solve the problem of passenger risk classification, an assessment model for air passenger risk classification based on the analytic hierarchy process and improved fuzzy comprehensive evaluation method is constructed. The existing index systems are improved by the comprehensive method. The index system of passenger risk assessment is established, which includes 23 indexes from five aspects: basic background, personal status, economic situation, personal conduct and civil aviation travel. In addition, the weight of each index is determined by the analytic hierarchy process. An improved method of determining fuzzy relation matrixes is proposed. The single factor evaluation vectors of discrete indexes can be determined according to the results of probability statistics, and the single factor evaluation vectors of continuous indexes are calculated by fitting function. Then the assessment model for passenger risk classification based on the improved fuzzy comprehensive evaluation method is established. According to the characteristic analysis of civil aviation passengers and terrorists, typical passenger samples of high, medium and low risk are set to verify the model. The results show that the evaluation results of typical passenger samples are consistent with the basic assumptions. The model is suitable for risk classification assessment of air passengers. Moreover, the tedious evaluation process is reduced compared with the traditional fuzzy comprehensive evaluation method.