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arXiv · 2402.04786

Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information

Inmaculada Gutiérrez·Daniel Gómez·Javier Castro·Rosa Espínola
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Abstract

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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Inmaculada Gutiérrez, Daniel Gómez, Javier Castro, Rosa Espínola. 2024-02-07. Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information. https://doi.org/10.2991/ijcis.d.201012.001 10.2991/ijcis.d.201012.001

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