An information fusion FMEA method to assess the risk of healthcare waste

• 作者: Linhan Ouyang Yige Zhu Wei Zheng Lin Yan
• 来源期刊: 管理科学学报（英文版）
• 年，卷（期）: 2021,（1）
• 页码范围: 111-124
• 页数: 14页
• 语种: 英文

摘要

Healthcare waste (HCW) management plays a vital role in the development of modern society. In HCW management, failure mode and effects analysis (FMEA) is a popular method to implement risk management for improving the quality of healthcare. However, the shortcomings of the traditional FMEA method have been widely discussed in litera-tures. This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability. The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers. Meanwhile, the interval probability comparison method is applied to analyze failure modes. Finally, a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.