Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information.
- DOI
- 10.1038/s41598-025-34665-1
- Published
- 2026 Feb 18
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34665-1,
title = {Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information.},
author = {Attaullah and Khan A and Boulaaras S and Din N and Khan MS},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-34665-1},
url = {https://doi.org/10.1038/s41598-025-34665-1}
}RIS
TY - JOUR TI - Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information. AU - Attaullah AU - Khan A AU - Boulaaras S AU - Din N AU - Khan MS PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-34665-1 UR - https://doi.org/10.1038/s41598-025-34665-1 ER -
APA
Attaullah, A, K., S, B., N, D., & MS, K. (2026). Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information.. Scientific reports. https://doi.org/10.1038/s41598-025-34665-1
Source records
- pubmed · retrieved 2026-09-25T14:45:56.071Z