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Fuzzy logic-based approach for identifying the risk importance of human error

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成果类型:
期刊论文
作者:
Li Peng-cheng*;Chen Guo-hua;Dai Li-cao;Zhang Li
通讯作者:
Li Peng-cheng
作者机构:
[Li Peng-cheng; Chen Guo-hua] S China Univ Technol, Inst Safety Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China.
[Li Peng-cheng; Zhang Li; Dai Li-cao] Univ S China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Li Peng-cheng] S
S China Univ Technol, Inst Safety Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China.
语种:
英文
关键词:
Fuzzy logic;Human error;Risk importance assessment;Uncertainty
期刊:
Safety Science
ISSN:
0925-7535
年:
2010
卷:
48
期:
7
页码:
902-913
基金类别:
National Natural Science Foundation Program of ChinaNational Natural Science Foundation of China (NSFC) [70873040]
机构署名:
本校为其他机构
院系归属:
管理学院
摘要:
In the system reliability and safety assessment, the focuses are not only the risks caused by hardware or software, but also the risks caused by "human error". There are uncertainties in the traditional human error risk assessment (e.g. HECA) due to the uncertainties and imprecisions in Human Error Probability (HEP), Error-Effect Probability (EEP) and Error Consequence Severity (ECS). While fuzzy logic can deal with uncertainty and imprecision. It is an efficient tool for solving problems where knowledge uncertainty may occur. The purpose of this paper is to develop a new Fuzzy Human Error Ris...

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