TY  - CPAPER
AU  - Pérez-Sechi, Carlos Ignacio
AU  - Gutiérrez García-Pardo, Inmaculada
AU  - Castro Cantalejo, Javier
AU  - Gómez González, Daniel
AU  - Martín García, Daniel
AU  - Espínola Vílchez, María Rosario
PY  - 2025
DO  - 10.1109/FUZZ62266.2025.11152169
SN  - 1544-5615
UR  - https://hdl.handle.net/20.500.14352/132205
AB  - In this study, we address the challenge of explainability in machine learning within the context of multi-agent fuzzy systems. Specifically, we present two advances. On one hand, based on the Kruskal-Wallis test, we define the KWSHAP algorithm, which...
LA  - eng
M2  - 1
KW  - Fuzzy Measures
KW  - Interaction Index
KW  - Machine Learning
KW  - Multi-Agent Fuzzy Systems
KW  - Shapley Value
KW  - XAI
TI  - On the role of relations and interactions in fuzzy systems for machine learning
TY  - conference paper
ER  -