Comparing System Reliabilities with Ill-Known Probabilities

Abstract : In reliability analysis, comparing system reliability is an essential task when designing safe systems. When the failure probabilities of the system components (assumed to be independent) are precisely known, this task is relatively simple to achieve, as system reliabilities are precise numbers. When failure probabilities are ill-known (known to lie in an interval) and we want to have guaranteed comparisons (i.e., declare a system more reliable than another when it is for any possible probability value), there are different ways to compare system reliabilities. We explore the computational problems posed by such extensions, providing first insights about their pros and cons.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [10 references]  Display  Hide  Download
Contributor : Sébastien Destercke <>
Submitted on : Tuesday, July 19, 2016 - 9:34:38 AM
Last modification on : Tuesday, July 24, 2018 - 4:40:02 PM


Files produced by the author(s)




Lanting Yu, Sébastien Destercke, Mohamed Sallak, Walter Schon. Comparing System Reliabilities with Ill-Known Probabilities. 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016), Jun 2016, Eindhoven, Netherlands. 611, pp.619-629, 2016, 〈10.1007/978-3-319-40581-0_50〉. 〈hal-01346452〉



Record views


Files downloads