Work

Performer selection in Human Reliability analysis: D numbers approach

Year: 2019

Type: article

Abstract: 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.

Source: International Journal of Computers Communications & Control

DOI: 10.15837/ijccc.2019.3.3537

Authors: Jie Zhao, Yong Deng

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Risk and Safety Analysis

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $539

Funder: National Natural Science Foundation of China