Provide a fuzzy expert system to assess and measure operational risks in air maintenance organizations

the work nature of an air maintenance organizations is in such a way that they always face the occurrence of accidents and the necessity of carrying out a proper risk assessment. One of these is the process of maintenance and repair in these organizations, but as it is evident from the definition of risk, it is always associated with uncertainty. Accordingly, it should be noted that performing risk assessment measures should be consistent with the principles that can cover this uncertainty.

in this research, identification and prioritization of risk factors for aircraft operating process in maintenance of the organization is studied. For this purpose, after the design of a multi-stage fuzzy inference system, basic criteria and sub - criteria were selected by Air Field experts using the brainstorming technique, including product realization, infrastructures, technology, operational processes and human resource.

this implementation causes the identification of five general indicators and seventeen sub-indicators of influencing risk factors in this industry, it showed that the most effectiveness in the risk area includes technical and operational processes (98.35) and the lowest effectiveness is in the field of products realization (66.32).

using fuzzy expert system modeled in this study, which by changing the input and observing the output easily can determine the importance of them and try to address the problems and present corrective and preventive actions in the field of safety engineering and operational and technical risk analysis of the organization at each stage of work processes