Article(id=1281685565712077109, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.06.1019, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739289600000, receivedDateStr=2025-02-12, revisedDate=1744992000000, revisedDateStr=2025-04-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1783507251432, onlineDateStr=2026-07-08, pubDate=1751040000000, pubDateStr=2025-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783507251432, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783507251432, creator=13701087609, updateTime=1783507251432, updator=13701087609, issue=Issue{id=1281685530169545672, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='6', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1751040000000', pubDateStr='2025-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783507242958, creator='13701087609', updateTime=1783589309504, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282029742274622413, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282029742274622414, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=105, endPage=110, ext={EN=ArticleExt(id=1281685565942763830, articleId=1281685565712077109, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Risk assessment of deep foundation pits in subway stations based on variable fuzzy sets, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

To accurately identify deep foundation pit collapse risk levels and improve construction safety, a risk assessment model was developed using variable fuzzy set theory. Sixteen influencing factors were screened from four categories: hydrogeology, support conditions, construction operations, and management monitoring. A risk index system was constructed based on these factors with clearly defined grade standards for risk classification. The multiplicative synthesis method was applied to optimally combine subjective weights derived from Stepwise Weight Assessment Ratio Analysis (SWARA) and objective weights calculated via the entropy weight method, forming comprehensive weights that integrate expert judgment and data objectivity. Variable fuzzy set theory was then utilized to process sample data, generating comprehensive grade characteristic values to determine collapse risk levels. Engineering case results show that the evaluation outcomes of method align with actual construction conditions, confirming its scientific validity and effectiveness. Compared to existing approaches, it more accurately reflects risk status by addressing the fuzzy nature of risk boundaries in deep foundation pit projects. This study provides a scientific and practical framework for risk assessment, enhancing safety management in deep foundation pit construction and offering practical value for ensuring project safety and informed risk management decisions.

, authors=Zi CHEN, Huawan QIU, Jiayu LIU, Siyu YANG, Zhiyong LI, authorsList=Zi CHEN, Huawan QIU, Jiayu LIU, Siyu YANG, Zhiyong LI, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281685566299279671, articleId=1281685565712077109, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于可变模糊集的地铁深基坑坍塌风险评估, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为准确判识深基坑坍塌风险等级，提升深基坑施工安全性，建立基于可变模糊集理论的深基坑坍塌风险评估模型，从水文地质、支护情况、施工操作和管理监测4个方面筛选出16个影响因素，构建深基坑坍塌风险指标体系并明确相应等级标准；采用乘法合成法对逐步加权评估比率分析法（SWARA）确定的主观权重与熵权法计算的客观权重进行优化组合，形成综合权重；运用可变模糊集理论对样本数据进行处理，求得综合等级特征值以此判定深基坑坍塌风险等级。结果表明：该评估方法所得结果与实际施工情况一致，具有一定的科学性和有效性；相较于现有评估方法，该方法能更准确地反映深基坑坍塌风险状况。

, authors=陈资讲师, 邱华婉, 刘家宇, 杨斯羽, 黎志勇副教授, authorsList=陈资讲师, 邱华婉, 刘家宇, 杨斯羽, 黎志勇副教授, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Dy9xAP67jMdNd/8TDEeRZw==, magXml=IoppYhj18wk5w1ywkkGXhA==, pdfUrl=null, pdf=a94C8jDt3rb+jtoj3EW16w==, pdfFileSize=2124163, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=jEAFRveEpF8Km6b14Gufgg==, mapNumber=null, fund=null)}, authors=[Author(id=1281685566571909436, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685565712077109, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=czi826_1@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281685566655795518, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685565712077109, authorId=1281685566571909436, language=EN, stringName=Zi CHEN, firstName=Zi, middleName=null, lastName=CHEN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Intelligent Manufacturing, Guangdong Polytechnic College, Zhaoqing Guangdong 526100, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281685566743875903, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685565712077109, authorId=1281685566571909436, language=CN, stringName=陈资讲师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=广东理工学院 智能制造学院，广东 肇庆 526100, bio={"content":"

陈资（1995—），男，湖南株洲人，硕士，讲师，主要从事安全管理与研究工作。E-mail: czi826_1@163.com。

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陈资（1995—），男，湖南株洲人，硕士，讲师，主要从事安全管理与研究工作。E-mail: czi826_1@163.com。

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