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논문 기본 정보

자료유형
학술저널
저자정보
Ling Zhang (School of Management, Shanghai University) Yu-Jie Zhu (School of Management, Shanghai University) Lin-Xiu Hou (School of Management, Shanghai University) Hu-Chen Liu (College of Economics and Management, China Jiliang University)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제53권 제11호
발행연도
2021.11
수록면
3,675 - 3,684 (10page)
DOI
https://doi.org/10.1016/j.net.2021.05.012

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초록· 키워드

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Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors,and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are of then different types of uncertainty when experts use linguisticlabels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rateprediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical health care dependence analysis.

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