%0 Conference Paper
%A Gutiérrez García-Pardo, Inmaculada
%A Santos, Daniel
%A Castro Cantalejo, Javier
%A Gómez González, Daniel
%A Espínola Vílchez, María Rosario
%T Understanding fuzzy measures: measurement of interactions in a bi-dimensional scenario
%D 2023
%@ 1544-5615
%U https://hdl.handle.net/20.500.14352/107838
%X 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.
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