Article(id=1263557425903354737, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1263557421033767765, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2026.01.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1737043200000, receivedDateStr=2025-01-17, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1779185166096, onlineDateStr=2026-05-19, pubDate=1771948800000, pubDateStr=2026-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1779185166096, onlineIssueDateStr=2026-05-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1779185166096, creator=13701087609, updateTime=1779185166096, updator=13701087609, issue=Issue{id=1263557421033767765, tenantId=1146029695717560320, journalId=1240618002186551303, year='2026', volume='49', issue='1', pageStart='1', pageEnd='197', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1779185164936, creator=13701087609, updateTime=1779185226134, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1263557677813252309, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1263557421033767765, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1263557677813252310, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1263557421033767765, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=125, endPage=134, ext={EN=ArticleExt(id=1263557428294108046, articleId=1263557425903354737, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Comprehensive evaluation of power and propulsion schemes for inland waterway vessels based on TOPSIS and Grey Relational Analysis （GRA）, columnId=1240655132208189615, journalTitle=Navigation of China, columnName=Ship and Ocean Engineering Equipment, runingTitle=null, highlight=null, articleAbstract=

To accommodate the complex operating conditions of inland waterway vessels and address the needs for green and intelligent development in the shipping industry, this paper proposes a comprehensive evaluation method for selecting ship propulsion schemes based on the entropy weight method and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution)-Grey Relational Analysis （GRA). The power required for ship propulsion is estimated using the fundamental theory of ship-engine-propeller matching. Based on this, the power of the propulsion system and the selection and configuration of four power and propulsion schemes during actual ship navigation are determined. An evaluation index system is established for ship propusion options, in which the weight of each indicator is determined by the entropy weight method. The four power and propulsion schemes of an inland bulk carrier are then comprehensively evaluated using the TOPSIS and GRA. The results indicate that scheme 4 （diesel-gas-electric hybrid propulsion) performs best among the alternatives. The findings of this study can provide a reference for the selection of propulsion schemes for efficient and green ships.

, correspAuthors=Hui CHEN, 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, authorCompany=null, fund=null, authors=null, authorsList=Hui CHEN, Lijuan WANG, Zhipeng DU), CN=ArticleExt(id=1263557431624385462, articleId=1263557425903354737, tenantId=1146029695717560320, journalId=1240618002186551303, language=CN, title=基于TOPSIS-灰色关联分析的内河船舶动力推进方案综合评估, columnId=1240655132354990258, journalTitle=中国航海, columnName=船舶工程与装备, runingTitle=null, highlight=null, articleAbstract=

为适应内河船舶复杂运行工况，满足船舶绿色化、智能化发展的需求，针对船舶动力推进方案选型问题，提出一种基于熵权法和TOPSIS-灰色关联分析的综合评价方法。利用船机桨匹配基本理论估算船舶推进所需功率，确定船舶实际航行过程中推进系统功率和4种动力推进方案的选型配置。构建船舶动力推进方案评价指标体系，通过熵权法确定各项指标的权重，并运用逼近理想解的排序方法（TOPSIS）和灰色关联分析法（GRA）对某内河散货船4种动力推进方案进行综合评价。结果表明方案4（柴气电混合推进）为最优动力推进方案。研究成果可为高效绿色船舶的动力推进方案选择提供参考。

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陈辉（1962—），男，博士，教授，研究方向为船舶动力系统建模与智能船舶控制。

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陈辉（1962—），男，博士，教授，研究方向为船舶动力系统建模与智能船舶控制。

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