Safety Perception Evaluation of Civil Aviation Based on Weibo Posts in China: An Enhanced Large-Scale Group Decision-Making Framework
International Journal of Fuzzy Systems
; 2023.
Article
in English
| Scopus | ID: covidwho-2294968
ABSTRACT
The 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. © 2023, The Author(s) under exclusive licence to Taiwan Fuzzy Systems Association.
Civil aviation; N2S-KMC algorithm; Online comments analysis; Safety perception evaluation; The large-scale group decision-making model; Accident prevention; Decision making; Economics; Sentiment analysis; Civil aviation safeties; Comment analysis; Group decision-making models; K-means++ clustering; Large-scale group; Online comment analyse; Safety perception; K-means clustering
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
International Journal of Fuzzy Systems
Year:
2023
Document Type:
Article
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