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Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP
Ist Teil von
Risk analysis, 2015-07, Vol.35 (7), p.1296-1316
Ort / Verlag
United States: Blackwell Publishing Ltd
Erscheinungsjahr
2015
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
Dependence assessment among human errors in human reliability analysis (HRA) is an important issue. Many of the dependence assessment methods in HRA rely heavily on the expert's opinion, thus are subjective and may sometimes cause inconsistency. In this article, we propose a computational model based on the Dempster‐Shafer evidence theory (DSET) and the analytic hierarchy process (AHP) method to handle dependence in HRA. First, dependence influencing factors among human tasks are identified and the weights of the factors are determined by experts using the AHP method. Second, judgment on each factor is given by the analyst referring to anchors and linguistic labels. Third, the judgments are represented as basic belief assignments (BBAs) and are integrated into a fused BBA by weighted average combination in DSET. Finally, the CHEP is calculated based on the fused BBA. The proposed model can deal with ambiguity and the degree of confidence in the judgments, and is able to reduce the subjectivity and improve the consistency in the evaluation process.