医疗事故中故障模式与影响分析的模糊粗糙集方法

IF 0.7 Q2 MATHEMATICS

International Journal of Analysis and Applications Pub Date : 2023-12-08 DOI:10.28924/2291-8639-21-2023-134

B. S. Reddy, S. Vijayabalaji, N. Thillaigovindan, P. Balaji

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引用次数: 0

摘要

识别风险因素是失败模型成功的关键。本文利用模糊粗糙集捕获的模糊粗糙矩阵信息，提出了一种新的医疗事故失效模式与影响分析(Failure Mode and Effect Analysis, FMEA)方法。将β-积和β-补积应用到模糊关系矩阵和模糊集中，求出模糊粗糙集新的上下逼近。该方法为确定风险因子权重提供了一种简便的方法。通过一个例子验证了我们提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Vague Rough Set Approach for Failure Mode and Effect Analysis in Medical Accident

Identifying the risk factor is a key to success for the Failure model. This paper presents a new FMEA (Failure Mode and Effect Analysis) in medical accident for the hospital management by using vague rough matrix information captured through vague rough set. Using β-product and β-complement product into fuzzy relation matrix and vague set to find the new lower and upper approximation of vague rough set. This method will provide an easy methodology to find the weight of risk factor. Using an example we validate our proposed approach.

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来源期刊

International Journal of Analysis and Applications MATHEMATICS-

CiteScore

1.30

自引率

10.00%

发文量

审稿时长

12 weeks