| Autor: |
Zhian Huang, Tian Le, Yukun Gao, Xiang Yao, Hailiang Wang, Wei Zhao, Yinghua Zhang, Ningning Nie |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 8, Pp 144767-144777 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2020.3013671 |
| Popis: |
To evaluate the safety of emergency training for industrial accident scenarios, an approach combining analytic hierarchy process (AHP) and gray-fuzzy evaluation is proposed. According to the characteristics of industrial emergency training scenarios, a safety evaluation index system for this training is constructed from four aspects: human, machine, environment, and management. The index weight is established using the AHP and the evaluation model is established base of the gray-fuzzy evaluation method. Based on the combination of the two methods, the quantitative results on training safety was obtained and the most important factor that have the greatest impact on training safety was found. Using this new assessment method, the safety of an industrial accident training scenario for a domestic emergency training facility are assessed, the defects in its emergency capacity are determined, and measures and suggestions are recommended to provide scientific and effective basis for improving emergency capacity. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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