SFLOAR技术:一种新的模糊职业风险评估方法,以优先考虑公共交通中的危险
1Department of Maritime and Port Management, Artvin Çoruh University, Artvin, Türkiye.
Work (Reading, Mass.)
|January 30, 2026
概括
本研究引入了一种新的混合风险评估模型,用于公共交通运输司机,确定工作压力是主要的职业危险. 该模型优先考虑安全措施,以改善驾驶员的幸福感.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 风险管理 风险管理
- 模糊的集合理论 模糊的集合理论
背景情况:
- 风险管理在各个领域都至关重要,尤其是面临重大职业风险的公共交通司机.
- 积极的措施对于减轻驾驶员健康后果至关重要.
研究的目的:
- 提出一种使用球形模糊集的新型混合风险评估模型.
- 优先考虑公共交通司机的职业危险.
主要方法:
- 基于Fine-Kinney的综合模糊职业风险评估模型.
- 纳入基于自适应标准化间隔 (ARTASI) 和标准重要性对数分解 (LODECI) 方法的替代排名技术.
- 使用了球形模糊集和球形模糊-雅格加权算术平均值聚合运算符.
主要成果:
- 拟议的SFLOAR-Fine-Kinney混合模型将工作压力 (PTH12) 确定为最重要的职业危险.
- 收入/工资政策 (PTH15) 被确定为最不严重的危险.
- 该模型为危险优先级提供了实用函数值.
结论:
- 该研究为公共交通部门提供了理论和管理见解.
- 综合的定量和定性观点,使用可靠的评估技术.
- 为提高司机的职业健康和安全提供了一个框架.
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