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使用模糊的BWM和模糊的TOPSISIS来预测和排名使用错误的综合方法
Samaneh Salari1, Ali Karimi1, Ehsan Farvaresh1
1School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
International journal of occupational safety and ergonomics : JOSE
|November 23, 2024
概括
本研究引入了使用错误 (PRUE) 的预测和排名模型,以评估文物风险. PRUE方法通过系统地识别和排序潜在的使用错误来提高系统的可靠性和安全性.
科学领域:
- 人类因素工程 人类因素工程
- 风险评估 风险评估 风险评估
- 医疗器械安全 医疗器械安全
背景情况:
- 系统可靠性和安全性评估取决于尽量减少处理文物时的错误.
- 现有的方法可能无法全面解决使用错误的预测和排名.
- 用户界面设计是防止使用错误的关键因素.
研究的目的:
- 开发一种新的使用错误 (PRUE) 的预测和排名模型,用于文物风险评估.
- 根据预先定义的标准,系统地检测,预测和排名使用错误.
- 用婴儿呼吸器装置证明PRUE方法的适用性.
主要方法:
- 一个两阶段的方法,涉及系统的使用错误检测和预测通过一个调查过程 (活动和功能层面).
- 应用模糊的最佳-最差方法 (F-BWM) 来确定使用错误 (CUE),检测使用错误 (DUE) 和使用错误概率 (PUE) 的相对权重.
- 使用 Fuzzy TOPSIS 来根据其评估的风险水平对使用错误进行排名.
主要成果:
- PRUE方法成功地识别和排序了与婴儿呼吸器相关的使用错误.
- 该研究证实了PRUE方法用于评估文物使用错误的可靠性和适用性.
- 结果表明PRUE方法在评估用户界面设计方面的潜力.
结论:
- 开发的PRUE方法为评估文物使用错误提供了可靠和适用的框架.
- 这种方法可以大大提高系统可靠性和安全性评估.
- PRUE方法为用户界面设计改进和错误预防提供了宝贵的见解.
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