Article(id=1282030090749985552, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.1750, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1742054400000, receivedDateStr=2025-03-16, revisedDate=1747843200000, revisedDateStr=2025-05-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589392601, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589392601, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589392601, creator=13701087609, updateTime=1783589392601, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=227, endPage=235, ext={EN=ArticleExt(id=1282030090968089361, articleId=1282030090749985552, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Risk assessment of public opinion on extreme rainstorm disasters based on three-way decisions under event system theory, columnId=1149735802789348081, journalTitle=China Safety Science Journal, columnName=Technology and engineering of disaster prevention and mitigation, runingTitle=null, highlight=null, articleAbstract=

In order to realize scientific risk assessment of public opinion on extreme rainstorms, this paper proposed a public opinion risk assessment method of extreme rainstorm disasters based on three-way decisions under the event system theory. From the perspective of event system theory, this method determined the life cycle of public opinion and built indicators for evaluating the risk of public opinion on extreme rainstorm disasters by integrating three dimensions: time, space, and strength. Meanwhile, this paper integrated review helpfulness with hesitant intuitionistic fuzzy sets, effectively quantifying public opinion preferences regarding risk assessment indicators of public opinion. On this basis, the paper extended the three-way decision method to classify public opinion risk into five levels, achieving a scientific assessment of public opinion risk towards extreme rainstorm disasters. Using actual cases and comparative analyses, the effectiveness and adaptability of the risk assessment model of public opinion towards extreme rainstorm disasters were verified. The results show that the proposed method not only successfully realizes the scientific selection of public opinion risk assessment indicators with respect to extreme rainstorm disasters and the effective quantification of public opinion preferences, but also alleviates the decision-making errors caused by the information and cognitive limitations of existing assessment methods to a certain extent.

, authors=Ruxin NIE, Luo WANG, Ziyu ZHANG, authorsList=Ruxin NIE, Luo WANG, Ziyu ZHANG, 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=1282030091588846356, articleId=1282030090749985552, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=事件系统理论下基于三支决策的特大暴雨灾害舆情风险评价, columnId=1149735802885817075, journalTitle=中国安全科学学报, columnName=防灾减灾技术与工程, runingTitle=null, highlight=null, articleAbstract=

为科学评估特大暴雨舆情风险，提出一种事件系统理论下基于三支决策的特大暴雨舆情风险评价方法。该方法从事件系统理论视角出发，结合时间、空间、强度3个维度，确定舆情生命周期并构建特大暴雨舆情风险评价指标。同时，结合评论有用性和犹豫直觉模糊集，有效量化关于舆情风险评价指标的公众舆情偏好。在此基础上，拓展三支决策方法，将舆情风险划分为5个等级，实现特大暴雨灾害舆情风险的科学评价。借助实际案例和对比分析，验证特大暴雨舆情风险评价模型的有效性和适应性。结果表明：所提方法不仅成功实现特大暴雨灾害舆情风险评价指标的科学选取，以及公众舆情偏好的有效量化，而且一定程度上缓解已有评价方法由于信息和认知局限带来的决策误差。

, authors=聂如欣讲师, 王洛, 张紫玉, authorsList=聂如欣讲师, 王洛, 张紫玉, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=57ogvMM9q6VzZvDtoFckRg==, magXml=RmCjqi/e7bvaF/At/JFvuw==, pdfUrl=null, pdf=d5itGl9P4ovhSYnumQKcqw==, pdfFileSize=3035753, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gi5pn0IG+7M+l7mykcXKPQ==, mapNumber=null, fund=null)}, authors=[Author(id=1282030093425951513, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030090749985552, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=rx_nie@cumt.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282030093530809115, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030090749985552, authorId=1282030093425951513, language=EN, stringName=Ruxin NIE, firstName=Ruxin, middleName=null, lastName=NIE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Economics and Management, China University of Mining and Technology, Xuzhou Jiangsu 221116, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282030093606306589, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030090749985552, authorId=1282030093425951513, language=CN, stringName=聂如欣讲师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国矿业大学 经济管理学院，江苏 徐州 221116, bio={"content":"

聂如欣（1992—），女，吉林长春人，博士，讲师，硕士生导师，主要从事数据挖掘与智能决策、应急决策、舆情分析等方面的研究。E-mail: rx_nie@cumt.edu.cn。

"}, bioImg=null, bioContent=

聂如欣（1992—），女，吉林长春人，博士，讲师，硕士生导师，主要从事数据挖掘与智能决策、应急决策、舆情分析等方面的研究。E-mail: rx_nie@cumt.edu.cn。

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