Assessment of industrial fault diagnosis using rough approximations of fuzzy hypersoft sets.

Abdullah M, Khan KA, Rahman AU, Mabela RM.

DOI: 10.1371/journal.pone.0329185
Published: 2025-09-09
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0329185,
  title = {Assessment of industrial fault diagnosis using rough approximations of fuzzy hypersoft sets.},
  author = {Abdullah M and  Khan KA and  Rahman AU and  Mabela RM.},
  year = {2025},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0329185},
  url = {https://doi.org/10.1371/journal.pone.0329185}
}

RIS

TY  - JOUR
TI  - Assessment of industrial fault diagnosis using rough approximations of fuzzy hypersoft sets.
AU  - Abdullah M
AU  -  Khan KA
AU  -  Rahman AU
AU  -  Mabela RM.
PY  - 2025
JO  - PLoS One
DO  - 10.1371/journal.pone.0329185
UR  - https://doi.org/10.1371/journal.pone.0329185
ER  -

APA

M, A., KA, K., AU, R., & RM., M. (2025). Assessment of industrial fault diagnosis using rough approximations of fuzzy hypersoft sets.. PLoS One. https://doi.org/10.1371/journal.pone.0329185

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europe-pmc · retrieved 2026-09-25T03:28:15.814Z