使用混合SWARA-ARAS方法在模糊环境中的消防工作的风险评估
Edris Soltani1, Mostafa Mirzaei Aliabadi2
1Student Research Committee, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Heliyon
|December 6, 2023
概括
这项研究引入了一种新的模糊方法,将SWARA和ARAS方法整合起来,以加强消防危险识别. 吸入有害气体是最大的风险,改善了传统的风险评估限制.
科学领域:
- 职业安全与健康问题 职业安全与健康问题
- 风险管理 风险管理
- 模糊逻辑应用 模糊逻辑应用
背景情况:
- 传统的危险识别和风险评估方法存在模两可,不确定性和评估者偏见.
- 现有的方法无法充分反映人类的认知过程和风险评估中的标准权重.
- 需要更准确,更敏感的风险评估方法.
研究的目的:
- 开发和应用用于消防职业的先进风险评估方法.
- 将SWARA (步骤重量评估比率分析) 的权重技术与ARAS (增量比率评估系统) 的优先级方法整合起来.
- 在模糊的环境中使用Fine-Kinney标准来实现这些综合方法,以提高准确性.
主要方法:
- 使用一种开发的模糊方法,将SWARA用于标准权重和ARAS用于风险优先级.
- 在消防背景下应用了Fine-Kinney标准来识别危险和评估风险.
- 进行敏感性分析以验证拟议方法的准确性和适用性.
主要成果:
- 综合模糊SWARA-ARAS方法在评估消防工作风险方面表现出高准确度和灵敏度.
- 吸入有害气体和烟雾 (R3) 被确定为最关键的风险.
- 关注最佳运行 (R21) 被确定为最不危险的风险.
结论:
- 拟议的模糊集成SWARA-ARAS方法为经典风险评估技术提供了更优质的替代方案.
- 这种方法有效地解决了风险分析中模糊性,不确定性和评估者主观性的局限性.
- 这些发现为改善消防操作中的安全协议和风险管理提供了宝贵的见解.
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