Safety Perception Evaluation of Civil Aviation Based on Weibo Posts in China: An Enhanced Large-Scale Group Decision-Making Framework

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dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridChen, Zhen-Song/0000-0003-4360-5459
dc.authoridGarcia-Zamora, Diego/0000-0002-0843-4714
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidChen, Zhen-Song/K-3436-2019
dc.authorwosidGarcia-Zamora, Diego/GQO-9997-2022
dc.contributor.authorFeng, Si-Hai
dc.contributor.authorXin, Yao-Jiao
dc.contributor.authorXiong, Sheng-Hua
dc.contributor.authorChen, Zhen-Song
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorGarcia-Zamora, Diego
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:40:08Z
dc.date.available2024-05-19T14:40:08Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe massive spread of COVID-19 and the crash of China Eastern Airlines MU5735 have negatively impacted the public's perception of civil aviation safety, which further affects the progress of the civil aviation industry and economic growth. The aim of research is to investigate the public's perception of China's civil aviation safety and give the authorities corresponding suggestions. First, we use online comment collection and sentiment analysis techniques to construct a novel evaluation index system reflecting the public's greatest concern for civil aviation safety. Then, we propose two novel large-scale group decision-making (LSGDM) models for aggregating evaluation: (1) K-means clustering with a novel distance measure for evaluators combined with unsupervised K-means clustering in two-stage, (2) unsupervised K-means clustering for evaluators combined with unsupervised K-means clustering for processing evaluation in two-stage. Finally, we compare the characteristics of different models and use the average of the two models as the final evaluation results.en_US
dc.description.sponsorshipCivil Aviation Education Talent Foundation [MHJY2022013]; Autonomous Project of Sichuan Key Laboratory of Civil Aircraft Fire Science and Safety Engineering [MZ2022JB03]; Civil Aviation Safety Capacity Construction Foundation [MHAQ2022020]; Civil Aviation Flight University of China Scientific Research Foundation [J2020-112]; Special Funds for Higher Education Reform of the Central Government [E2022053]; National Natural Science Foundation of China [72171182, 71801175,71871171, 72031009]en_US
dc.description.sponsorshipAcknowledgementsThe authors would like to express their gratitude to the editors and reviewers for handling and reviewing this paper. This work was supported by Civil Aviation Education Talent Foundation [grant No. MHJY2022013]; Autonomous Project of Sichuan Key Laboratory of Civil Aircraft Fire Science and Safety Engineering [grant No. MZ2022JB03]; Civil Aviation Safety Capacity Construction Foundation [grant No. MHAQ2022020]; Civil Aviation Flight University of China Scientific Research Foundation [grant No. J2020-112]; Special Funds for Higher Education Reform of the Central Government (No. E2022053); and partly by the National Natural Science Foundation of China [Grant nos. 72171182, 71801175,71871171, and 72031009].en_US
dc.identifier.doi10.1007/s40815-023-01510-4
dc.identifier.endpage3259en_US
dc.identifier.issn1562-2479
dc.identifier.issn2199-3211
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85152932316en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage3233en_US
dc.identifier.urihttps://doi.org10.1007/s40815-023-01510-4
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4912
dc.identifier.volume25en_US
dc.identifier.wosWOS:000974530500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofInternational Journal of Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectCivil Aviationen_US
dc.subjectSafety Perception Evaluationen_US
dc.subjectOnline Comments Analysisen_US
dc.subjectThe Large-Scale Group Decision-Making Modelen_US
dc.subjectN2s-Kmc Algorithmen_US
dc.titleSafety Perception Evaluation of Civil Aviation Based on Weibo Posts in China: An Enhanced Large-Scale Group Decision-Making Frameworken_US
dc.typeArticleen_US

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