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A Comprehensive Model for Human Factor Risk Assessment: HFACS-FFT-ANN
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Youling Liu, Yang Ma, Xiao-Xue Qiao, W. |
| Copyright Year | 2019 |
| Abstract | With the development of technology and reliability, the human factors are becoming the most contributing casual for the occurrence of accident. In the present study, a comprehensive human factor analysis model, including Human Factors Analysis and Classification System (HFACS), Fuzzy Fault Tree Analysis (F-FTA) and Artificial Neural Network (ANN), is proposed to assess human facors involved in accident or risk event. Under the framework of proposed model, the FFT stemmed from HFACS is mapped into ANN based on fuzzy theory, which may be beneficial for the prediction and assessent of human factors. |
| File Format | PDF HTM / HTML |
| DOI | 10.2991/icmesd-19.2019.21 |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/125912256.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
