Performer selection in Human Reliability analysis: D numbers approach | Zendy

Jie Zhao | Zendy; Yong Deng | Zendy

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Performer selection in Human Reliability analysis: D numbers approach

Author(s) -

Jie Zhao,

Yong Deng

Publication year - 2019

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2019.3.3537

Subject(s) - multiple criteria decision analysis , reliability (semiconductor) , computer science , selection (genetic algorithm) , human reliability , similarity (geometry) , machine learning , statistics , artificial intelligence , human error , mathematics , operations research , image (mathematics) , power (physics) , physics , quantum mechanics

Dependence assessment among human errors in human reliability analysis (HRA) is an significant issue. Many previous works discussed the factors influencing the dependence level but failed to discuss how these factors like "similarity of performers" determine the final result. In this paper, the influence of performers on HRA is focused, in addition, a new way of D numbers which is usually used to handle with the multiple criteria decision making (MCDM) problems is introduced as well to determine the optimal performer. Experimental result demonstrates the validity of proposed methods in choosing the best performers with lowest the conditional human error probability (CHEP) under the same circumstance.

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