一种用于分析商业航空事故的新型顺序风险评估模型:软计算视角
Amirhossein Nosrati Malekjahan1, Ali Husseinzadeh Kashan1, Seyed Mojtaba Sajadi2
1Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
概括
本研究引入了分析商业航空事故的结构化模型. 它优先考虑使用新型模糊技术和模糊认知地图的风险,以提高航空安全.
科学领域:
- 航空安全和风险管理
- 决策分析 决策分析
- 模糊的集合理论 模糊的集合理论
背景情况:
- 商业航空面临许多事故,需要进行结构化分析.
- 现有的风险评估方法需要对复杂系统进行改进.
研究的目的:
- 开发一个全面的模型来分析商业航空事故.
- 引入新的风险优先级技术,以提高安全性.
主要方法:
- 故障模式和影响分析 (FMEA) 用于风险识别.
- 多属性决策 (MADM) 和新的模糊技术 (直觉模糊集,模糊集) 用于风险优先级.
- 模糊认知地图 (FCM) 用于分析风险因素相互作用.
主要成果:
- 该模型有效地识别和优先考虑商业航空中的关键风险.
- 基于模糊的新方法证明了在风险评估中对不确定性进行强有力的处理.
- FCM分析揭示了风险因素之间的关键相互作用,有助于系统理解.
结论:
- 拟议的模型为航空事故分析提供了一个结构化和有效的方法.
- 新的风险优先级技术为管理航空安全提供了有价值的工具.
- 该方法适用于其他需要风险评估的复杂运输系统.
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