Han, Nguyen Van (2025) Systematic Review of Max-Min Aggregation in Fuzzy Systems and Interpretable Machine Learning: Models, Evaluation, and Applications. EAI Endorsed Transactions on Contex-aware Systems and Applications.
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Abstract
This systematic review investigates the use of max-min aggregation in fuzzy systems and interpretable machine learning. Rooted in fuzzy set theory and triangular norms, max-min aggregation offers a transparent and mathematically simple approach to modeling uncertainty and decision-making. We examine
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:14 |
| Last Modified: | 10 Apr 2026 18:18 |
| URI: | http://eprints.eai.eu/id/eprint/59875 |
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