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Quantitative evaluation of Pandora Temporal Fault Trees via Petri Nets (2015)
Journal Article
Kabir, S., Papadopoulos, Y., & Walker, M. (2015). Quantitative evaluation of Pandora Temporal Fault Trees via Petri Nets. IFAC Proceedings Volumes/ International Federation of Automatic Control, 48(21), 458-463. https://doi.org/10.1016/j.ifacol.2015.09.569

© 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Using classical combinatorial fault trees, analysts are able to assess the effects of combinations of failures on system behaviour but are unab... Read More about Quantitative evaluation of Pandora Temporal Fault Trees via Petri Nets.

A safety analysis approach to clinical workflows : application and evaluation (2014)
Journal Article
Gordon, N., Kabir, S., Sharvia, S., Walker, M., & Al-Qora’n, L. (in press). A safety analysis approach to clinical workflows : application and evaluation. International Journal of Advanced Computer Science and Applications, 4(3), 82-91. https://doi.org/10.14569/SpecialIssue.2014.040310

Clinical workflows are safety critical workflows as they have the potential to cause harm or death to patients. Their safety needs to be considered as early as possible in the development process. Effective safety analysis methods are required to ens... Read More about A safety analysis approach to clinical workflows : application and evaluation.

Quantification of temporal fault trees based on fuzzy set theory (2014)
Journal Article
Kabir, S., Edifor, E., Walker, M., & Gordon, N. (2014). Quantification of temporal fault trees based on fuzzy set theory. Advances in Intelligent Systems and Computing, 286, 255-264. https://doi.org/10.1007/978-3-319-07013-1_24

© Springer International Publishing Switzerland 2014. Fault tree analysis (FTA) has been modified in different ways to make it capable of performing quantitative and qualitative safety analysis with temporal gates, thereby overcoming its limitation i... Read More about Quantification of temporal fault trees based on fuzzy set theory.