Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations

Daniel Lichte

Open source

DOI: 10.1016/j.jnlssr.2024.07.001
Published: 2025-03
Container: Journal of Safety Science and Resilience
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jnlssr.2024.07.001,
  title = {Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations},
  author = {Daniel Lichte},
  year = {2025},
  journal = {Journal of Safety Science and Resilience},
  doi = {10.1016/j.jnlssr.2024.07.001},
  url = {https://doi.org/10.1016/j.jnlssr.2024.07.001}
}

RIS

TY  - JOUR
TI  - Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations
AU  - Daniel Lichte
PY  - 2025
JO  - Journal of Safety Science and Resilience
DO  - 10.1016/j.jnlssr.2024.07.001
UR  - https://doi.org/10.1016/j.jnlssr.2024.07.001
ER  -

APA

Lichte, D. (2025). Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations. Journal of Safety Science and Resilience. https://doi.org/10.1016/j.jnlssr.2024.07.001

Source records

crossref · retrieved 2026-09-26T19:18:13.914Z