Article(id=1282034763380789556, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.10.0243, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749571200000, receivedDateStr=2025-06-11, revisedDate=1755187200000, revisedDateStr=2025-08-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590506644, onlineDateStr=2026-07-09, pubDate=1761580800000, pubDateStr=2025-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590506644, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590506644, creator=13701087609, updateTime=1783590506644, updator=13701087609, issue=Issue{id=1282034747870253265, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='10', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1761580800000', pubDateStr='2025-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590502946, creator='13701087609', updateTime=1783593819616, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048659068006772, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048659068006773, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=36, endPage=43, ext={EN=ArticleExt(id=1282034763577921845, articleId=1282034763380789556, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Situational awareness evaluation of flight trainees based on combined weighting cloud model, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=

In order to enhance the flight training capabilities of trainees, identify and evaluate flight trainees' situational awareness, an index system for evaluating flight trainees' situational awareness was established based on grounded theory. The combined weights were calculated using game theory to integrate subjective weights, which were determined by the G1 method, and objective weights, which were derived from the criteria importance through intercriteria correlation(CRITIC) method improved by the coefficient of variation method. Subsequently, a combined weighting cloud model was proposed: the digital characteristic values of the evaluation indices were input into a cloud generator to obtain situational awareness ratings, and the model was verified for the use of an example to evaluate the situation awareness of a flight trainee. The results indicate that the cloud model can comprehensively evaluate the situational awareness of flight trainees. The overall situational awareness of Trainee A was rated as excellent. Among the indicators, the flight discipline metric yielded the best evaluation result, contributing significantly to the maintenance of situational awareness. The flight operation skills metric was rated between the best and the poorest, while the professional knowledge indicator received the lowest score. Major deficiencies were identified in two primary evaluation indicators, emergency handling capability and adaptability to operational environments, which were found to adversely affect the maintenance of situational awareness.

, authors=Hongxun HAO1, Zehai ZHAO2, Cheng HUANG2, Jiahui XU2, authorsList=Hongxun HAO, Zehai ZHAO, Cheng HUANG, Jiahui XU, 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=1282034764102209846, articleId=1282034763380789556, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=飞行学员情景意识评价的组合权重云模型, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为提升飞行学员的飞行训练能力,辨识和评价飞行学员情景意识。依据扎根理论建立飞行学员情景意识评价指标体系,采用博弈论对序关系法和结合变异系数法改进的指标相关性的权重确定法(CRITIC)分别确定主、客观赋权结果,并进行组合权重计算,提出评价飞行学员情景意识的组合权重云模型,将评价指标云数字特征值输入云发生器,获得飞行学员情景意识评级结果,并通过实例进行验证。结果表明:云模型能整体评价飞行学员情景意识,学员A情景意识综合评价为优秀等级。其中,飞行作风指标评价结果最好,能对情景意识的保持起到较大的正向作用。飞行操作指标评价结果介于最好与最差之间,专业知识指标评价结果最差,2个一级评价指标中的特情处理能力、运行环境适应力存在较大的不足,不利于情景意识的保持。

, authors=郝红勋讲师1, 赵泽海2, 黄城2, 徐佳惠2, authorsList=郝红勋讲师, 赵泽海, 黄城, 徐佳惠, authorCompany=null, correspAuthors=null, authorNote=

郝红勋(1977—),男,河南新乡人,博士,讲师,主要从事飞行技术、低空技术及工程、飞机加改装及适航取证等方面的研究。E-mail:

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郝红勋(1977—),男,河南新乡人,博士,讲师,主要从事飞行技术、低空技术及工程、飞机加改装及适航取证等方面的研究。E-mail:

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郝红勋(1977—),男,河南新乡人,博士,讲师,主要从事飞行技术、低空技术及工程、飞机加改装及适航取证等方面的研究。E-mail:

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飞行学员情景意识评价的组合权重云模型
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郝红勋讲师 1 , 赵泽海 2 , 黄城 2 , 徐佳惠 2
中国安全科学学报 | 安全社会科学与安全管理 2025,35(10): 36-43
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中国安全科学学报 |安全社会科学与安全管理 2025 , 35 (10) : 36 -43
飞行学员情景意识评价的组合权重云模型
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郝红勋讲师1 , 赵泽海2, 黄城2, 徐佳惠2
作者信息
  • 1中国民航大学 飞行分校,天津 300300
  • 2中国民航大学 安全科学与工程学院,天津 300300
作者简介:

郝红勋(1977—),男,河南新乡人,博士,讲师,主要从事飞行技术、低空技术及工程、飞机加改装及适航取证等方面的研究。E-mail:

Situational awareness evaluation of flight trainees based on combined weighting cloud model
Hongxun HAO1 , Zehai ZHAO2, Cheng HUANG2, Jiahui XU2
Affiliations
  • 1Flight Academy, Civil Aviation University of China, Tianjin 300300, China
  • 2College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
出版时间: 2025-10-28 doi: 10.16265/j.cnki.issn1003-3033.2025.10.0243
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为提升飞行学员的飞行训练能力,辨识和评价飞行学员情景意识。依据扎根理论建立飞行学员情景意识评价指标体系,采用博弈论对序关系法和结合变异系数法改进的指标相关性的权重确定法(CRITIC)分别确定主、客观赋权结果,并进行组合权重计算,提出评价飞行学员情景意识的组合权重云模型,将评价指标云数字特征值输入云发生器,获得飞行学员情景意识评级结果,并通过实例进行验证。结果表明:云模型能整体评价飞行学员情景意识,学员A情景意识综合评价为优秀等级。其中,飞行作风指标评价结果最好,能对情景意识的保持起到较大的正向作用。飞行操作指标评价结果介于最好与最差之间,专业知识指标评价结果最差,2个一级评价指标中的特情处理能力、运行环境适应力存在较大的不足,不利于情景意识的保持。

飞行学员  /  情景意识评价  /  组合权重  /  云模型  /  飞行训练

In order to enhance the flight training capabilities of trainees, identify and evaluate flight trainees' situational awareness, an index system for evaluating flight trainees' situational awareness was established based on grounded theory. The combined weights were calculated using game theory to integrate subjective weights, which were determined by the G1 method, and objective weights, which were derived from the criteria importance through intercriteria correlation(CRITIC) method improved by the coefficient of variation method. Subsequently, a combined weighting cloud model was proposed: the digital characteristic values of the evaluation indices were input into a cloud generator to obtain situational awareness ratings, and the model was verified for the use of an example to evaluate the situation awareness of a flight trainee. The results indicate that the cloud model can comprehensively evaluate the situational awareness of flight trainees. The overall situational awareness of Trainee A was rated as excellent. Among the indicators, the flight discipline metric yielded the best evaluation result, contributing significantly to the maintenance of situational awareness. The flight operation skills metric was rated between the best and the poorest, while the professional knowledge indicator received the lowest score. Major deficiencies were identified in two primary evaluation indicators, emergency handling capability and adaptability to operational environments, which were found to adversely affect the maintenance of situational awareness.

flight trainee  /  situational awareness assessment  /  combination weighting  /  cloud model  /  flight training
郝红勋讲师, 赵泽海, 黄城, 徐佳惠. 飞行学员情景意识评价的组合权重云模型. 中国安全科学学报, 2025 , 35 (10) : 36 -43 . DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0243
Hongxun HAO, Zehai ZHAO, Cheng HUANG, Jiahui XU. Situational awareness evaluation of flight trainees based on combined weighting cloud model[J]. China Safety Science Journal, 2025 , 35 (10) : 36 -43 . DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0243
  • 西藏自治区科技计划重点研发计划(XZ202401ZY0102)
  • 西藏自治区科技计划重点研发计划揭榜挂帅专项(XZ202403ZY0019)
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doi: 10.16265/j.cnki.issn1003-3033.2025.10.0243
  • 接收时间:2025-06-11
  • 首发时间:2026-07-09
  • 出版时间:2025-10-28
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  • 收稿日期:2025-06-11
  • 修回日期:2025-08-15
基金
西藏自治区科技计划重点研发计划(XZ202401ZY0102)
西藏自治区科技计划重点研发计划揭榜挂帅专项(XZ202403ZY0019)
作者信息
    1中国民航大学 飞行分校,天津 300300
    2中国民航大学 安全科学与工程学院,天津 300300
参考文献
分享链接
https://castjournals.cast.org.cn/joweb/zgaqkxxb/CN/10.16265/j.cnki.issn1003-3033.2025.10.0243
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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