RT Conference Proceedings
T1 Understanding fuzzy measures: measurement of interactions in a bi-dimensional scenario
A1 Gutiérrez García-Pardo, Inmaculada
A1 Santos, Daniel
A1 Castro Cantalejo, Javier
A1 Gómez González, Daniel
A1 Espínola Vílchez, María Rosario
AB Fuzzy measures are a common occurrence in real-world situations, so understanding them is crucial for making informed decisions based on incomplete or uncertain data. This work describes a study focused on measuring interactions between individuals using a fuzzy measure and representing the results in a bi-dimensional scenario. The method used for this measurement is based on the Shapley value, a well-established mathematical framework for quantifying individual contributions in cooperative game theory and adapted to fuzzy analysis. We propose a conceptually simple solution that allows for a more accurate and reliable assessment of interactions between individuals, with an intuitive interpretation The use of the Shapley value in conjunction with a fuzzy measure allows for a more nuanced understanding of the interactions being analyzed, making this study a valuable contribution to the field.
SN 979-8-3503-3228-5
SN 979-8-3503-3229-2
SN 1544-5615
YR 2023
FD 2023
LK https://hdl.handle.net/20.500.14352/107838
UL https://hdl.handle.net/20.500.14352/107838
LA eng
NO Gutierrez, I. et al. (2023) «Understanding Fuzzy Measures: Measurement of Interactions in a Bi-Dimensional Scenario», en IEEE International Conference on Fuzzy Systems. Institute of Electrical and Electronics Engineers Inc. Disponible en: https://doi.org/10.1109/FUZZ52849.2023.10309674
DS Docta Complutense
RD 5 abr 2025