| Development of a questionnaire for characterization of an emergency operation system: application to emergency operating procedures
Kim, J., Podofillini, L., & Le Bot, P. (2010). Development of a questionnaire for characterization of an emergency operation system: application to emergency operating procedures. In 10th international conference on probabilistic safety assessment and management 2010, PSAM 2010: Vol. 2. Proceedings of the 10th international conference on probabilistic safety assessment and management 2010 (PSAM 2010) (pp. 1361-1372). Curran. |
| An identification and grouping approach to analyze the output of a dynamic safety assessment
Podofillini, L., Mercurio, D., Dang, V. N., & Zio, E. (2010). An identification and grouping approach to analyze the output of a dynamic safety assessment. In Procedia - social and behavioral sciences: Vol. 2. Procedia social behavioral sciences (pp. 7724-7725). https://doi.org/10.1016/j.sbspro.2010.05.198 |
| Dynamic safety assessment: scenario identification via a possibilistic clustering approach
Podofillini, L., Zio, E., Mercurio, D., & Dang, V. N. (2010). Dynamic safety assessment: scenario identification via a possibilistic clustering approach. Reliability Engineering and System Safety, 95(5), 534-549. https://doi.org/10.1016/j.ress.2010.01.004 |
| Using expert models in human reliability analysis-a dependence assessment method based on fuzzy logic
Podofillini, L., Dang, V., Zio, E., Baraldi, P., & Librizzi, M. (2010). Using expert models in human reliability analysis-a dependence assessment method based on fuzzy logic. Risk Analysis, 30(8), 1277-1297. https://doi.org/10.1111/j.1539-6924.2010.01425.x |
| Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems
Baraldi, P., Librizzi, M., Zio, E., Podofillini, L., & Dang, V. N. (2009). Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems. Expert Systems with Applications, 36(10), 12461-12471. https://doi.org/10.1016/j.eswa.2009.04.036 |
| Identification and classification of dynamic event tree scenarios via possibilistic clustering: application to a steam generator tube rupture event
Mercurio, D., Podofillini, L., Zio, E., & Dang, V. N. (2009). Identification and classification of dynamic event tree scenarios via possibilistic clustering: application to a steam generator tube rupture event. Accident Analysis and Prevention, 41(6), 1180-1191. https://doi.org/10.1016/j.aap.2008.08.013 |
| Comparing CESA-Q human reliability analysis with evidence from simulator: a first attempt
Podofillini, L., & Reer, B. (2009). Comparing CESA-Q human reliability analysis with evidence from simulator: a first attempt. In S. Martorell, C. G. Soares, & J. Barnett (Eds.), Safety, reliability and risk analysis: theory, methods and applications: Vol. 1. Proceedings of the Joint ESREL and SRA-Europe conference (pp. 233-241). CRC Press. |
| A fuzzy set-based approach for modeling dependence among human errors
Zio, E., Baraldi, P., Librizzi, M., Podofillini, L., & Dang, V. N. (2009). A fuzzy set-based approach for modeling dependence among human errors. Fuzzy Sets and Systems, 160(13), 1947-1964. https://doi.org/10.1016/j.fss.2009.01.016 |
| Designing a risk-informed balanced system by genetic algorithms: comparison of different balancing criteria
Podofillini, L., & Zio, E. (2008). Designing a risk-informed balanced system by genetic algorithms: comparison of different balancing criteria. Reliability Engineering and System Safety, 93(12), 1842-1852. https://doi.org/10.1016/j.ress.2008.03.015 |
| Scoping-level Probabilistic Safety Assessment of a complex experimental facility: Challenges and first results from the application to a neutron source facility (MEGAPIE)
Podofillini, L., Dang, V. N., & Thomsen, K. (2008). Scoping-level Probabilistic Safety Assessment of a complex experimental facility: Challenges and first results from the application to a neutron source facility (MEGAPIE). Nuclear Engineering and Design, 238(10), 2726-2738. https://doi.org/10.1016/j.nucengdes.2008.03.020 |
| Techniques for verification of expert models for dependence assessment in human reliability analysis
Podofillini, L., Baraldi, P., Dang, V. N., Zio, E., & Librizzi, M. (2008). Techniques for verification of expert models for dependence assessment in human reliability analysis. In T. M. Kao, E. Zio, & V. Ho (Eds.), 9th international conference on probabilistic safety assessment and management 2008, PSAM 2008: Vol. 2. Proceedings of the ninth international conference on probabilistic safety assessment and management 2008, PSAM 2008 (pp. 1266-1273). sine nomine. |
| Genetic algorithms and Monte Carlo simulation for the optimization of system design and operation
Marseguerra, M., Zio, E., & Podofillini, L. (2007). Genetic algorithms and Monte Carlo simulation for the optimization of system design and operation. In G. Levitin (Ed.), Studies in computational intelligence: Vol. 39. Computational intelligence in reliability engineering. Evolutionary techniques in reliability analysis and optimization (pp. 101-150). https://doi.org/10.1007/978-3-540-37368-1_4 |
| Probabilistic Safety Assessment of complex experimental facilities: lessons learned from the application to a neutron source facility (MEGAPIE)
Podofillini, L., & Dang, V. N. (2007). Probabilistic Safety Assessment of complex experimental facilities: lessons learned from the application to a neutron source facility (MEGAPIE). In T. Aven & J. E. Vinnem (Eds.), Vol. 2. Risk, reliability and societal safety (pp. 1511-1519). |
| A fuzzy logic model for taking into account tasks dependencies in human reliability analysis
Zio, E., Baraldi, P., Librizzi, M., Podofillini, L., & Dang, V. N. (2007). A fuzzy logic model for taking into account tasks dependencies in human reliability analysis. In T. Aven & J. E. Vinnem (Eds.), Vol. 1. Risk, reliability and societal safety (pp. 773-780). |
| Importance measures and genetic algorithms for designing a risk-informed optimally balanced system
Zio, E., & Podofillini, L. (2007). Importance measures and genetic algorithms for designing a risk-informed optimally balanced system. Reliability Engineering and System Safety, 92(10), 1435-1447. https://doi.org/10.1016/j.ress.2006.09.011 |
| A fuzzy clustering approach for accident scenarios identification
Zio, E., Mercurio, D., Podofillini, L., & Dang, V. N. (2006). A fuzzy clustering approach for accident scenarios identification. In C. Guedes Soares & E. Zio (Eds.), Proceedings of the European safety and reliability conference 2006, ESREL 2006 - safety and reliability for managing risk: Vol. 1. Proceedings of the European safety and reliability conference 2006 (ESREL 2006) (pp. 181-188). Taylor and Francis. |
| Exploiting importance measures information for optimizing system design by genetic algorithms
Zio, E., & Podofillini, L. (2006). Exploiting importance measures information for optimizing system design by genetic algorithms. In C. Guedes Soares & E. Zio (Eds.), Proceedings of the European safety and reliability conference 2006, ESREL 2006 - safety and reliability for managing risk: Vol. 1. Proceedings of the European safety and reliability conference 2006 (ESREL 2006) (pp. 661-669). Taylor and Francis. |
