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The imperfect knowledge concerns the CCF factors involved in the safety system. The point-valued CCF factors are replaced by triangular fuzzy numbers, allowing experts to express their uncertainty about the CCF values. The proposed method shows how the uncertainties of CCF factors propagate through the Bayesian networks and how this induces an uncertainty to the values of the safety system performance. The proposed method ensures the relevance of the results. This is validated by a comparison with the results of probabilistic analysis of a Monte Carlo sampling, where we consider triangular probability distribution of common cause failures factors.<\/jats:p>","DOI":"10.3233\/jifs-162296","type":"journal-article","created":{"date-parts":[[2017,7,11]],"date-time":"2017-07-11T11:22:46Z","timestamp":1499772166000},"page":"995-1006","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Uncertainties handling in safety system performance assessment by using fuzzy Bayesian networks"],"prefix":"10.1177","volume":"33","author":[{"given":"Walid","family":"Mechri","sequence":"first","affiliation":[{"name":"Laboratoire de recherche LR-Automatique, \u00c9cole Nationale d\u2019Ing\u00e9nieurs de Tunis, Tunis, Tunisie"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wassim","family":"Snene","sequence":"additional","affiliation":[{"name":"Unit\u00e9 de recherche ATSI, \u00c9cole Nationale d\u2019Ing\u00e9nieurs de Monastir, Monastir, Tunisie"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamel","family":"Ben Othman","sequence":"additional","affiliation":[{"name":"Unit\u00e9 de recherche ATSI, \u00c9cole Nationale d\u2019Ing\u00e9nieurs de Monastir, Monastir, Tunisie"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,7,11]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"IEC61508 Functional safety of Electrical\/Electronic\/Programmable Electronic Safety related systems. part 1-7 (2010)."},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.03.010"},{"key":"e_1_3_1_4_2","unstructured":"IEC61511 Functional safety safety instrumented systems for the process industry sector (2000)."},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1177\/1748007810395668"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84800-131-2_39"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jlp.2012.12.002"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2008.03.024"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0951-8320(00)00077-6"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-2012-0553"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1243\/1748006XJRR190"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014745904458"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-120680"},{"issue":"3","key":"e_1_3_1_14_2","first-page":"388","article-title":"Probabilistic fuzzy approach for the imprecise evaluation of safety instrumented systems","volume":"3","author":"Mechri W.","year":"2011","unstructured":"MechriW. and BenOthmanK., Probabilistic fuzzy approach for the imprecise evaluation of safety instrumented systems, International Review on Modelling and Simulations 3(3) (2011), 388\u2013400.","journal-title":"International Review on Modelling and Simulations"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.04.015"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2014.09.005"},{"key":"e_1_3_1_17_2","unstructured":"FlemingF. 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