基于直觉模糊熵的机务维修不安全因素优控模型

Based on Intuitionistic Fuzzy Entropy Maintenance Repair Unsafe Factors Model of the Optimal Control

机务维修安全是飞行安全的基础,是航空公司健康运行的重要前提.优先控制机务维修中的不安全因素,有助于提高航空公司机务维修安全管理水平.基于直觉模糊熵,建立了航空公司机务维修不安全因素优控模型,结合某航空公司机务维修不安全事例,应用模型对航空公司机务维修不安全因素的直觉模糊熵进行了计算,得到了机务维修不安全因素的优控顺序.结果表明,方法得到的分析结果准确、可操作性强,能客观反映不安全因素的优先控制顺序,为航空公司机务维修安全管理提供了新的思路.

Maintenance safety is the basis of flight safety and an important precondition for the healthy operation of the airline. Priority control the unsafe factors in the maintenance efficiency, help to improve safety management level of aircraft maintenance. This paper is based on intuitionistic fuzzy entropy, established an aircraft maintenance unsafe factors optimal control model, combined with airline maintenance safety cases, intuitive application model factors on maintenance safety of airline fuzzy entropy is calculated, obtained the maintenance safety factor the optimal control sequence. The results show that the obtained results are accurate and feasible, can objectively reflect the order of priority control of unsafe factors as well,It provides a new idea for the airline maintenance and safety management.