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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xia Zhijie |
| Copyright Year | 2010 |
| Abstract | To develop a new analysis method which can link the reliability prediction for information system with audit evidences quantitatively, this study proposes a prediction model based on evidential reasoning framework with audit evidences. Information system audit is employed to obtain qualitative and quantitative evidence which can be used to estimate system reliability. Then, a model is developed to link the prediction of system reliability at some future time points with obtained assessment results. This model can handle qualitative assessment and quantitative data with uncertain information, and to support the self-adjustment of model parameters. It is shown that this method can help maintainers track the system performance and achieve pre-maintenance. |
| Starting Page | 2801 |
| Ending Page | 2804 |
| File Size | 373069 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424468805 |
| e-ISBN | 9781424468812 |
| DOI | 10.1109/iCECE.2010.684 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Reliability prediction Biological system modeling Information system Information system audit Predictive models Prediction algorithms Cognition Reliability Information systems Evidential reasoning |
| Content Type | Text |
| Resource Type | Article |
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