Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment.

Tang Y, Wu W, Pedrycz W, Gao J, Hu X, Deng Z, Chen R

Open source

DOI
10.1109/tnnls.2024.3499996
Published
2025 Jun
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnnls.2024.3499996,
  title = {Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment.},
  author = {Tang Y and Wu W and Pedrycz W and Gao J and Hu X and Deng Z and Chen R},
  year = {2025},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2024.3499996},
  url = {https://doi.org/10.1109/tnnls.2024.3499996}
}

RIS

TY  - JOUR
TI  - Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment.
AU  - Tang Y
AU  - Wu W
AU  - Pedrycz W
AU  - Gao J
AU  - Hu X
AU  - Deng Z
AU  - Chen R
PY  - 2025
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2024.3499996
UR  - https://doi.org/10.1109/tnnls.2024.3499996
ER  - 

APA

Y, T., W, W., W, P., J, G., X, H., Z, D., & R, C. (2025). Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2024.3499996

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