A three-way decision-based model for occupational risk assessment and classification in the healthcare industry

IF 6.6 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Applied Soft Computing Pub Date : 2025-03-13 DOI:10.1016/j.asoc.2025.112991
Ran Liu , Hu-Chen Liu , Qi-Zhen Zhang , Hua Shi
{"title":"A three-way decision-based model for occupational risk assessment and classification in the healthcare industry","authors":"Ran Liu ,&nbsp;Hu-Chen Liu ,&nbsp;Qi-Zhen Zhang ,&nbsp;Hua Shi","doi":"10.1016/j.asoc.2025.112991","DOIUrl":null,"url":null,"abstract":"<div><div>Nowadays, occupational health and safety risk assessment (OHSRA) has gained more importance since occupational hazards can cause loss of life, injuries, delays, and cost overruns in an organization. The OHSRA is a critical activity for identifying, analyzing and reducing the potential occupational hazards arising from workplace for corrective actions. In this study, a new OHSRA model is proposed for the risk assessment and classification of occupational hazards by utilizing the criteria importance through inter-criteria correlation (CRITIC) method and three-way decision (TWD). First, the 2-tuple linguistic variables are utilized to express the complex and uncertain risk assessments of occupational hazards provided by experts. Second, an extended CRITIC method is employed to compute the weights of risk criteria by considering their interactions. Then the TWD is improved to determine the risk classifications of occupational hazards by considering their correlations. Finally, a practical case in the healthcare industry is provided to illustrate the feasibility and strengths of the proposed OHSRA model. The results show that the proposed OHSRA model can generate more credible risk classifications of occupational hazards and offer a flexible way for analyzing the risk of occupational hazards.</div></div>","PeriodicalId":50737,"journal":{"name":"Applied Soft Computing","volume":"174 ","pages":"Article 112991"},"PeriodicalIF":6.6000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568494625003023","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Nowadays, occupational health and safety risk assessment (OHSRA) has gained more importance since occupational hazards can cause loss of life, injuries, delays, and cost overruns in an organization. The OHSRA is a critical activity for identifying, analyzing and reducing the potential occupational hazards arising from workplace for corrective actions. In this study, a new OHSRA model is proposed for the risk assessment and classification of occupational hazards by utilizing the criteria importance through inter-criteria correlation (CRITIC) method and three-way decision (TWD). First, the 2-tuple linguistic variables are utilized to express the complex and uncertain risk assessments of occupational hazards provided by experts. Second, an extended CRITIC method is employed to compute the weights of risk criteria by considering their interactions. Then the TWD is improved to determine the risk classifications of occupational hazards by considering their correlations. Finally, a practical case in the healthcare industry is provided to illustrate the feasibility and strengths of the proposed OHSRA model. The results show that the proposed OHSRA model can generate more credible risk classifications of occupational hazards and offer a flexible way for analyzing the risk of occupational hazards.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
医疗保健行业职业风险评估与分类的三向决策模型
如今,职业健康和安全风险评估(OHSRA)变得越来越重要,因为职业危害可能导致组织中的生命损失、伤害、延误和成本超支。OHSRA是识别、分析和减少工作场所产生的潜在职业危害以采取纠正措施的关键活动。本研究提出了一种新的OHSRA模型,通过标准间相关性(critical)方法和三向决策(TWD)方法对职业危害进行风险评估和分类。首先,利用二元语言变量来表达专家提供的复杂和不确定的职业危害风险评估。其次,采用一种扩展的critical方法,通过考虑风险准则之间的相互作用来计算风险准则的权重。然后对TWD进行改进,利用两者之间的相关性来确定职业危害的风险等级。最后,通过一个医疗行业的实际案例来说明所提出的OHSRA模型的可行性和优势。结果表明,所建立的OHSRA模型能够生成更可信的职业危害风险分类,为职业危害风险分析提供了一种灵活的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
期刊最新文献
Editorial Board Accelerating shape optimization by deep neural networks with on-the-fly determined architecture A survey on recent recurrent neural networks based intrusion detection systems Angle difference threshold graph induced complex network for data series analysis An enhanced multi-criteria decision making framework for evaluating LLM-integrated smart product-service systems using spherical fuzzy rough numbers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1