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https://hdl.handle.net/20.500.14279/14761| Τίτλος: | Assessing the reliability of socio-technical systems | Συγγραφείς: | Gregoriades, Andreas Sutcliffe, Alistair G. Shin, Jae Eun |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Λέξεις-κλειδιά: | Bayesian belief network;Human error;System reliability;Mathematical models | Ημερομηνία Έκδοσης: | 16-Ιου-2003 | Πηγή: | Systems Engineering, 2003, vol. 6, no. 3, pp. 210-223 | Volume: | 6 | Issue: | 3 | Start page: | 210 | End page: | 223 | Περιοδικό: | Systems Engineering | Περίληψη: | This article presents a Bayesian Belief Network (BBN) approach for socio-technical system reliability assessment. A human error BBN model quantifies error influences arising from user knowledge, ability, and task environment, combined with factors describing the complexity of user action and user interface quality. System reliability evaluation is achieved by the System Reliability Analyser tool, which enables the iterative manipulation of the human error model according to high-level scenarios. | URI: | https://hdl.handle.net/20.500.14279/14761 | ISSN: | 15206858 | DOI: | 10.1002/sys.10044 | Rights: | © John Wiley & Sons | Type: | Article | Affiliation: | University of Manchester Institute of Science and Technology |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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