%0 Journal Article
%A Gutiérrez García-Pardo, Inmaculada
%A Gómez González, Daniel
%A Castro Cantalejo, Javier
%A Espínola Vílchez, María Rosario
%T Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
%D 2020
%@ 875-6891
%U https://hdl.handle.net/20.500.14352/100039
%X In this paper we introduce the concept of multiple bipolar fuzzy measures as a generalization of a bipolar fuzzy measure. We also propose a new definition of a group, which is based on the multidimensional bipolar fuzzy relations of its elements. Taking into account this information, we provide a novel procedure (based on the well-known Louvain algorithm) to deal with community detection problems. This new method considers the multidimensional bipolar information provided by multiple bipolar fuzzy measures, as well as the information provided by a graph. We also give some detailed computational tests, obtained from the application of this algorithm in several benchmark models.
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