@article { , title = {Quantification of temporal fault trees based on fuzzy set theory}, abstract = {© 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 in capturing sequential failure behaviour. However, for many systems, it is often very difficult to have exact failure rates of components due to increased complexity of systems, scarcity of necessary statistical data etc. To overcome this problem, this paper presents a methodology based on fuzzy set theory to quantify temporal fault trees. This makes the imprecision in available failure data more explicit and helps to obtain a range of most probable values for the top event probability.}, doi = {10.1007/978-3-319-07013-1\_24}, eissn = {2194-5365}, isbn = {9783319070124; 9783319070131}, issn = {2194-5357}, journal = {Proceedings of the ninth international conference on dependability and complex systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland}, pages = {255-264}, publicationstatus = {Published}, publisher = {Springer Verlag}, url = {https://hull-repository.worktribe.com/output/434551}, volume = {286}, keyword = {Specialist Research - Other, Dependability analysis, Fault tree analysis, Fuzzy logic, Uncertainty analysis, Temporal fault trees}, year = {2014}, author = {Kabir, Sohag and Edifor, Ernest and Walker, Martin and Gordon, Neil} }