Optimal expert elicitation to reduce interval uncertainty, Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI 2015, pp.12-21, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01200694
The reliability importance of components and prime implicants in coherent and non-coherent systems including total-order interactions, European Journal of Operational Research, vol.204, issue.3, pp.485-495, 2010. ,
DOI : 10.1016/j.ejor.2009.10.021
Affine Arithmetic: Concepts and Applications, Numerical Algorithms, vol.37, issue.1-4, pp.147-158, 2004. ,
DOI : 10.1023/B:NUMA.0000049462.70970.b6
Fuzzy universal generating functions for multi-state system reliability assessment, Fuzzy Sets and Systems, vol.159, issue.3, pp.307-324, 2008. ,
DOI : 10.1016/j.fss.2007.06.004
Gradual Numbers and Their Application to Fuzzy Interval Analysis, IEEE Transactions on Fuzzy Systems, vol.16, issue.2, pp.388-402, 2008. ,
DOI : 10.1109/TFUZZ.2006.890680
Computational complexity of interval algebraic problems: Some are feasible and some are computationally intractable-a survey, Mathematical Research, vol.90, pp.293-306, 1996. ,
Bounds for the reliability of binary coherent systems, 2014. ,
Extended component importance measures considering aleatory and epistemic uncertainties. Reliability, IEEE Transactions on, vol.62, issue.1, pp.49-65, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00749618
A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models, Reliability Engineering & System Safety, vol.125, pp.13-21, 2014. ,
DOI : 10.1016/j.ress.2013.05.022
Decision making under uncertainty using imprecise probabilities, International Journal of Approximate Reasoning, vol.45, issue.1, pp.17-29, 2007. ,
DOI : 10.1016/j.ijar.2006.06.001