Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment.
- 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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Cite this work
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
Source records
- pubmed · retrieved 2026-09-25T06:52:21.971Z