Name
Title | ||
|---|---|---|
Quantification of a human reliability analysis method for radiotherapy applications based on expert judgment aggregation |
Abstract | ||
|---|---|---|
•This paper develops the decision trees of a new HRA method, for radiotherapy.•Expert judgment is elicited on a qualitative scale, aggregated via a Bayesian model.•Partial validation is attempted versus literature HRA data.•Differences data vs judgments are linked to differences in the performance context. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ress.2019.05.001 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Human reliability analysis,Radiotherapy,Safety analysis,Risk analysis,Expert judgment,Human error | Reference data (financial markets),Human reliability,Judgment aggregation,Human error probability,Artificial intelligence,Engineering,Reliability engineering,Machine learning | Journal |
Volume | ISSN | Citations |
194 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dhruv Pandya | 1 | 0 | 0.34 |
| Luca Podofillini | 2 | 383 | 31.44 |
| Frank Emert | 3 | 0 | 0.34 |
| Antony J. Lomax | 4 | 0 | 0.34 |
| Vinh N Dang | 5 | 64 | 7.22 |
| Giovanni Sansavini | 6 | 104 | 11.91 |