Research on Storm-Tide Disaster Losses in China Using a New Grey Relational Analysis Model with the Dispersion of Panel Data
| العنوان: | Research on Storm-Tide Disaster Losses in China Using a New Grey Relational Analysis Model with the Dispersion of Panel Data |
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| المؤلفون: | Xuemei Li, Ya Zhang, Kedong Yin |
| المصدر: | International Journal of Environmental Research and Public Health; Volume 14; Issue 11; Pages: 1330 International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 14, Iss 11, p 1330 (2017) |
| بيانات النشر: | Multidisciplinary Digital Publishing Institute, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | China, Computer science, Health, Toxicology and Mutagenesis, 0211 other engineering and technologies, lcsh:Medicine, Disaster Planning, 02 engineering and technology, computer.software_genre, Grey relational analysis, Article, Disasters, 0202 electrical engineering, electronic engineering, information engineering, Statistical dispersion, Reliability (statistics), 021110 strategic, defence & security studies, Emergency management, business.industry, Cyclonic Storms, lcsh:R, Public Health, Environmental and Occupational Health, Tidal Waves, Models, Theoretical, Grid, storm-tide disaster, Euclidean distance, dispersion, grey relational analysis, sustainable development on marine economics, Relational model, 020201 artificial intelligence & image processing, Data mining, business, computer, Panel data |
| الوصف: | Owing to the difference of the sequences’ orders and the surface structure in the current panel grey relational models, research results will not be unique. In addition, individual measurement of indicators and objects and the subjectivity of combined weight would significantly weaken the effective information of panel data and reduce the reliability and accuracy of research results. Therefore, we propose the concept and calculation method of dispersion of panel data, establish the grey relational model based on dispersion of panel data (DPGRA), and prove that DPGRA exhibits the effective properties of uniqueness, symmetry, and normality. To demonstrate its applicability, the proposed DPGRA model is used to research on storm-tide disaster losses in China’s coastal areas. Comparing research results of three models, which are DPGRA, Euclidean distance grey relational model, and grey grid relational model, it was shown that DPGRA is more effective, feasible, and stable. It is indicated that DPGRA can entirely utilize the effective information of panel data; what’s more, it can not only handle the non-uniqueness of the grey relational model’s results but also improve the reliability and accuracy of research results. The research results are of great significance for coastal areas to focus on monitoring storm–tide disasters hazards, strengthen the protection measures of natural disasters, and improve the ability of disaster prevention and reduction. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1660-4601 |
| DOI: | 10.3390/ijerph14111330 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79e6e00aceea3443d60ba9ffdedcd589 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....79e6e00aceea3443d60ba9ffdedcd589 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16604601 |
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| DOI: | 10.3390/ijerph14111330 |