Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties
- DOI
- 10.1109/tr.2014.2299031
- Published
- 2014-03
- Container
- IEEE Transactions on Reliability
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tr.2014.2299031,
title = {Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties},
author = {Yan-Fu Li and Yi Ding and Enrico Zio},
year = {2014},
journal = {IEEE Transactions on Reliability},
doi = {10.1109/tr.2014.2299031},
url = {https://doi.org/10.1109/tr.2014.2299031}
}RIS
TY - JOUR TI - Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties AU - Yan-Fu Li AU - Yi Ding AU - Enrico Zio PY - 2014 JO - IEEE Transactions on Reliability DO - 10.1109/tr.2014.2299031 UR - https://doi.org/10.1109/tr.2014.2299031 ER -
APA
Li, Y., Ding, Y., & Zio, E. (2014). Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties. IEEE Transactions on Reliability. https://doi.org/10.1109/tr.2014.2299031
Source records
- crossref · retrieved 2026-09-24T20:04:28.915Z