Article(id=1223185960947536200, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221182, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654099200000, receivedDateStr=2022-06-02, revisedDate=1657641600000, revisedDateStr=2022-07-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1769559858786, onlineDateStr=2026-01-28, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769559858786, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769559858786, creator=13701087609, updateTime=1769559858786, updator=13701087609, issue=Issue{id=1223185958363841064, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='3', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769559858149, creator=13701087609, updateTime=1769561242661, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223191765415477785, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223191765415477786, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223185958363841064, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=83, endPage=86, ext={EN=ArticleExt(id=1223185962717532501, articleId=1223185960947536200, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Optimization of Seepage Control Scheme of Earth Rock Dam Based on Improved TOPSIS Method and Risk Attitude Interval Assignment, columnId=1222925280734335368, journalTitle=Water Resources and Power, columnName=DAM SAFETY AND MONITORING, runingTitle=null, highlight=null, articleAbstract=

It is significant to achieve safe operation of the project and strengthen the construction of the whole life cycle safety supervision system of the dam to scientifically and rationally conduct a comprehensive evaluation of the earth and rock dam seepage control treatment scheme. From the four guideline layers of engineering risk removal effect, engineering management, engineering economy and engineering construction, this study constructed the evaluation index system of earth and rock dam seepage control treatment scheme. Aiming at the evaluation of the risk attitude of decision makers in the process of seepage control program selection, the risk attitude factor was introduced to assign interval evaluation to the indicators, and the subjective and objective weights were optimized based on game theory. And then the program was analyzed and evaluated using the improved TOPSIS model. The effectiveness of the preferred system was tested by taking a reservoir anti-seepage treatment alternative as an example. The results show that the method is feasible and effective for the selection of seepage control solutions.

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科学评价土石坝防渗治理方案，对实现工程安全运行、加强大坝全生命周期安全监管体系建设，具有重要意义。从工程除险效果、工程管理、工程经济和工程施工四个准则层出发，构建土石坝防渗治理方案评价指标体系。针对防渗治理方案优选过程中决策者风险态度难以评估问题，引入风险态度因子对指标进行区间评价赋值，并基于博弈论优化主客观权重，进而利用改进的TOPSIS模型对方案进行分析评价。以某水库防渗治理备选方案为例检验该优选体系的有效性，结果表明该方法对防渗治理方案的优选有效可行。

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张旭漫（1997-），女，硕士研究生，研究方向为水工结构工程，E-mail：zhangxuman188@163.com

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张旭漫（1997-），女，硕士研究生，研究方向为水工结构工程，E-mail：zhangxuman188@163.com

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