RT Journal Article
T1 Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information
A1 Gutiérrez García-Pardo, Inmaculada
A1 Gómez González, Daniel
A1 Castro Cantalejo, Javier
A1 Espínola Vílchez, María Rosario
AB 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.
PB Atlantis Press, Springer
SN 875-6891
YR 2020
FD 2020-10-22
LK https://hdl.handle.net/20.500.14352/100039
UL https://hdl.handle.net/20.500.14352/100039
LA eng
NO Gutiérrez, I., Gómez, D., Castro, J. et al. Multiple Bipolar Fuzzy Measures: An Application to Community Detection Problems for Networks with Additional Information. Int J Comput Intell Syst 13, 1636–1649 (2020). https://doi.org/10.2991/ijcis.d.201012.001
DS Docta Complutense
RD 29 sept 2024