2026-06-28T14:49:54Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1000392025-04-24T23:50:53Zcom_20.500.14352_14col_20.500.14352_15

Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information Gutiérrez García-Pardo, Inmaculada Gómez González, Daniel Castro Cantalejo, Javier Espínola Vílchez, María Rosario 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. 2024-02-07T15:10:52Z 2024-02-07T15:10:52Z 2020 journal article 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.201012.001 875-6891 10.2991/ijcis.d.201012.001 https://hdl.handle.net/20.500.14352/100039 1875-6883 https://doi.org/10.2991/ijcis.d.201012.001 https://link.springer.com/article/10.2991/ijcis.d.201012.001 eng info:eu-repo/grantAgreement/MINECO//MTM2015-70550-P/ES/ANALISIS JUEGO-TEORICO DE LAS REDES SOCIALES/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096509-B-I00/ES/GESTION INTELIGENTE DE INFORMACION BORROSA/ info:eu-repo/grantAgreement/MINECO//TIN2015-66471-P/ES/TECNICAS DE OBTENCION, PROCESAMIENTO Y REPRESENTACION DE INFORMACION DIFUSA PARA LA TOMA DE DECISIONES/ http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 International Springer