Dismantling Binary Opposition in Fraud Detection: A Fuzzy Deep Learning Framework for Imbalanced Transaction Data
In the context of behavioral finance, detecting credit card fraud remains a critical challenge, particularly when dealing with highly imbalanced datasets and ambiguous transaction patterns. This complexity highlights the limitations of traditional fraud detection models, which rely on a rigid binary...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-04-01
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| Collection: | Risks |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2227-9091/14/5/98 |
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