A nonlinear Takagi-Sugeno-Kang fuzzy system based on information granules for chemical engineering fault diagnosis.

Yin R, Lin Y, Shi H, Pang S, Tao R, Li C

DOI: 10.1038/s41598-026-51515-w
Published: 2026 May 22
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-51515-w,
  title = {A nonlinear Takagi-Sugeno-Kang fuzzy system based on information granules for chemical engineering fault diagnosis.},
  author = {Yin R and Lin Y and Shi H and Pang S and Tao R and Li C},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-51515-w},
  url = {https://doi.org/10.1038/s41598-026-51515-w}
}

RIS

TY  - JOUR
TI  - A nonlinear Takagi-Sugeno-Kang fuzzy system based on information granules for chemical engineering fault diagnosis.
AU  - Yin R
AU  - Lin Y
AU  - Shi H
AU  - Pang S
AU  - Tao R
AU  - Li C
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-51515-w
UR  - https://doi.org/10.1038/s41598-026-51515-w
ER  -

APA

R, Y., Y, L., H, S., S, P., R, T., & C, L. (2026). A nonlinear Takagi-Sugeno-Kang fuzzy system based on information granules for chemical engineering fault diagnosis.. Scientific reports. https://doi.org/10.1038/s41598-026-51515-w

Source records

pubmed · retrieved 2026-09-25T21:25:56.198Z