RT Journal Article
T1 Network Visualization of a Fuzzy Measure
A1 Carlos I. Pérez-Sechi, 
A1 Castro Cantalejo, Javier
A1 Gómez González, Daniel
A1 Martín García, Daniel
A1 Espínola Vílchez, María Rosario
A1 Gutiérrez García-Pardo, Inmaculada
AB This conference paper explores the visualization of fuzzy measures to model complex interactions between elements in various scenarios. Despite their utility, fuzzy measures present challenges due to the complexity of their interpretation when the number of elements rises. We propose using graphical representations and network analysis techniques to address these challenges. Using the Shapley Index and the Murofushi-Grabisch interaction index, we aim to provide a more intuitive and effective understanding of fuzzy measures. This approach facilitates the visualization and analysis of element interactions, enhancing decision-making processes in complex systems.
PB Springer Nature
YR 2025
FD 2025
LK https://hdl.handle.net/20.500.14352/129723
UL https://hdl.handle.net/20.500.14352/129723
LA eng
DS Docta Complutense
RD 11 ene 2026