RETRACTED ARTICLE: Sustainable regional rail system pricing using a machine learning-based optimization approach
- DOI
- 10.1007/s10479-023-05603-z
- Published
- 2023-09-25
- Container
- Annals of Operations Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
serious concern Score 23/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/s10479-023-05603-z,
title = {RETRACTED ARTICLE: Sustainable regional rail system pricing using a machine learning-based optimization approach},
author = {Ilgin Gokasar and Ahmet Karakurt and Yusuf Kuvvetli and Muhammet Deveci and Dursun Delen and Dragan Pamucar},
year = {2023},
journal = {Annals of Operations Research},
doi = {10.1007/s10479-023-05603-z},
url = {https://doi.org/10.1007/s10479-023-05603-z}
}RIS
TY - JOUR TI - RETRACTED ARTICLE: Sustainable regional rail system pricing using a machine learning-based optimization approach AU - Ilgin Gokasar AU - Ahmet Karakurt AU - Yusuf Kuvvetli AU - Muhammet Deveci AU - Dursun Delen AU - Dragan Pamucar PY - 2023 JO - Annals of Operations Research DO - 10.1007/s10479-023-05603-z UR - https://doi.org/10.1007/s10479-023-05603-z ER -
APA
Gokasar, I., Karakurt, A., Kuvvetli, Y., Deveci, M., Delen, D., & Pamucar, D. (2023). RETRACTED ARTICLE: Sustainable regional rail system pricing using a machine learning-based optimization approach. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05603-z
Source records
- crossref · retrieved 2026-11-09T08:20:11.666Z