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Multiple Bipolar Fuzzy Measures: An Application to Community Detection Problems for Networks with Additional Information
- Source :
- International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
- Publication Year :
- 2020
- Publisher :
- Springer, 2020.
-
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.
Details
- Language :
- English
- ISSN :
- 18756883
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Computational Intelligence Systems
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.195bbdd9b73e4228828c2ce5c9cb69ec
- Document Type :
- article
- Full Text :
- https://doi.org/10.2991/ijcis.d.201012.001