Deployment of Hierarchical fuzzy model to evaluate the technical factors affecting aviation safety

Aviation Safety has always been one of the key and important topics in the aviation industry. Since the first human flight, aviation accidents and incidents worldwide have led to extensive efforts to improve flight safety. Identifying the factors contributing to these accidents and accurately analyzing them can greatly assist in reducing incidents and enhancing flight safety. In this regard, various models and theories have been developed to assess the factors influencing aviation safety. When sufficient historical data is unavailable, using fuzzy logic and fuzzy analytical hierarchy process (FAHP), in combination with expert opinions, can be an appropriate alternative for evaluating the technical factors affecting aviation safety. This study employs the fuzzy analytical hierarchy process (FAHP) to evaluate the technical components influencing aviation safety. For this purpose, the five-part classification from the International Air Transport Association (IATA), including human, technical, environmental, organizational, and incomplete information factors, was used as the main criteria, with 36 sub-criteria. Specifically, the findings show that technical and human factors hold the highest weight among the other criteria.  another significant finding of this study is the high impact of incomplete information on reducing aviation safety levels. The lack of access to complete and up-to-date data can affect decision-making processes and lead to increased risks. By employing FAHP, aviation organizations can focus on key factors and implement effective safety improvement programs through precise prioritization.