A Comprehensive Model for Human Factor Risk Assessment: HFACS-FFT-ANN

DOI

10.2991/icmesd-19.2019.21How to use a DOI?

Keywords

HFACS, Fuzzy fault tree, Artificial neural network, Fuzzy AHP.

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Liu
AU  - Yang Liu
AU  - Xiao-Xue Ma
AU  - Wei-Liang Qiao
PY  - 2019/07
DA  - 2019/07
TI  - A Comprehensive Model for Human Factor Risk Assessment: HFACS-FFT-ANN
BT  - Proceedings of the 5th Annual International Conference on Management, Economics and Social Development (ICMESD 2019)
PB  - Atlantis Press
SP  - 148
EP  - 152
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmesd-19.2019.21
DO  - 10.2991/icmesd-19.2019.21
ID  - Liu2019/07
ER  -