G. E. Apostolakis, The concept of probability in safety assessments of technological systems, Science, vol.250, issue.4986, pp.1359-1364, 1990.
DOI : 10.1126/science.2255906

P. Baraldi and E. Zio, A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis, Risk Analysis, vol.8, issue.4, pp.1309-1325, 2008.
DOI : 10.1111/j.1539-6924.2008.01085.x

G. Bá-rdossy and J. Fodor, Evaluation of uncertainties and risks in geology: new mathematical approaches for their handling, 2004.

C. Baudrit, D. Dubois, and D. Guyonnet, Joint Propagation and Exploitation of Probabilistic and Possibilistic Information in Risk Assessment, IEEE Transactions on Fuzzy Systems, vol.14, issue.5, pp.593-608, 2006.
DOI : 10.1109/TFUZZ.2006.876720

K. Y. Cai, Introduction to Fuzzy Reliability, 1996.
DOI : 10.1007/978-1-4613-1403-5

S. M. Chen, Fuzzy system reliability analysis using fuzzy number arithmetic operations. Fuzzy Sets and Systems, pp.6431-6469, 1994.

J. A. Cooper, S. Ferson, and L. Ginzburg, Hybrid Processing of Stochastic and Subjective Uncertainty Data, Risk Analysis, vol.2, issue.4, pp.785-791, 1996.
DOI : 10.1016/0888-613X(90)90022-T

Y. Ding, M. J. Zuo, A. Lisnianski, and W. Li, A Framework for Reliability Approximation of Multi-State Weighted k-out-of-n Systems. Reliability, IEEE Transactions on, vol.59, issue.2, pp.297-308, 2010.

Y. Ding, M. J. Zuo, A. Lisnianski, and Z. Tian, Fuzzy Multi-State Systems: General Definitions, and Performance Assessment, IEEE Transactions on Reliability, vol.57, issue.4, pp.589-594, 2008.
DOI : 10.1109/TR.2008.2006078

D. Dubois, H. T. Nguyen, and H. Prade, Possibility theory, probability and fuzzy sets: Misunderstandings, bridges and gaps Fundamentals of Fuzzy Sets, 2000.

D. Dubois and H. Prade, The mean value of a fuzzy number. Fuzzy Sets and Systems, pp.279-300, 1987.

S. Ferson, What Monte Carlo methods cannot do. Human and Ecological Risk Assessment, An International Journal, vol.2, issue.4, pp.990-1007, 1996.

S. Ferson and L. R. Ginzburg, Hybrid arithmetic. ISUMA-NAFIPS, pp.619-623, 1995.

S. Ferson and L. R. Ginzburg, Different methods are needed to propagate ignorance and variability. Reliability Engineering & Systems Safety, pp.54133-144, 1996.

G. Giannakoudis, A. I. Papadopoulos, P. Seferlis, and S. Voutetakis, Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage, International Journal of Hydrogen Energy, vol.35, issue.3, pp.35872-891, 2010.
DOI : 10.1016/j.ijhydene.2009.11.044

J. C. Helton, Alternative representations of epistemic uncertainty, Reliability Engineering & System Safety, vol.85, issue.1-3, pp.1-10, 2004.
DOI : 10.1016/j.ress.2004.03.001

A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Applications, 1985.

C. Y. Li, X. Chen, X. S. Yi, and J. Y. Tao, Interval-Valued Reliability Analysis of Multi-State Systems, IEEE Transactions on Reliability, vol.60, issue.1, pp.323-330, 2011.
DOI : 10.1109/TR.2010.2103670

Y. F. Li and E. Zio, A multi-state model for the reliability assessment of a distributed generation system via universal generating function, Reliability Engineering & System Safety, vol.106, pp.10628-10664, 2012.
DOI : 10.1016/j.ress.2012.04.008

URL : https://hal.archives-ouvertes.fr/hal-00704877

Y. F. Li and E. Zio, Uncertainty analysis of the adequacy assessment model of a distributed generation system, Renewable Energy, vol.41, pp.41235-244, 2012.
DOI : 10.1016/j.renene.2011.10.025

URL : https://hal.archives-ouvertes.fr/hal-00644305

C. H. Lin, J. C. Ke, and H. I. Huang, Reliability-based measures for a system with an uncertain parameter environment, International Journal of Systems Science, vol.19, issue.11, pp.43-1146, 2012.
DOI : 10.1016/j.ress.2009.08.001

B. Natvig, Multistate System Reliability Theory with Applications, 2011.
DOI : 10.1002/9780470977088

G. Shafer, A Mathematical Theory of Evidence, 1976.

D. Singer, A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets and Systems, pp.34145-155, 1990.

I. Ushakov, Universal Generating Functions, Soviet Journal of Computer Systems Science, vol.125, issue.5, pp.118-129, 1986.
DOI : 10.1002/9781118400715.ch6

A. S. Wang, Y. Luo, G. Y. Tu, and P. Liu, Quantitative Evaluation of Human-Reliability Based on Fuzzy-Clonal Selection, IEEE Transactions on Reliability, vol.60, issue.3, pp.517-527, 2011.
DOI : 10.1109/TR.2011.2161031