MoST: A monotone set transformer for scalable and verifiable neuro-fuzzy aggregation.
- DOI
- 10.1016/j.neunet.2026.109153
- Published
- 2026 Nov
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109153,
title = {MoST: A monotone set transformer for scalable and verifiable neuro-fuzzy aggregation.},
author = {Huang JJ and Chen CY},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109153},
url = {https://doi.org/10.1016/j.neunet.2026.109153}
}RIS
TY - JOUR TI - MoST: A monotone set transformer for scalable and verifiable neuro-fuzzy aggregation. AU - Huang JJ AU - Chen CY PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109153 UR - https://doi.org/10.1016/j.neunet.2026.109153 ER -
APA
JJ, H., & CY, C. (2026). MoST: A monotone set transformer for scalable and verifiable neuro-fuzzy aggregation.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109153
Source records
- pubmed · retrieved 2026-09-26T13:54:15.085Z