Aggregation of fuzzy graphs

 

Abstract

Our study is centered on the aggregation of fuzzy graphs, looking for conditions under which the aggregation process yields another fuzzy graph. We conduct an in-depth analysis of the preservation of several important properties and structures inherent to fuzzy graphs, like paths, cycles, or bridges. In addition we obtain appropriate criteria for when the aggregation of complete fuzzy graphs is again a complete fuzzy graph.

Citation

Please, cite this work as:

[Tal+24] F. J. Talavera, C. Bejines, S. Ardanza-Trevijano, et al. “Aggregation of fuzzy graphs”. In: Int. J. Approx. Reason. 172 (2024), p. 109243. DOI: 10.1016/J.IJAR.2024.109243. URL: https://doi.org/10.1016/j.ijar.2024.109243.

BibTeX

@Article{Talavera2024,
     author = {Francisco Javier Talavera and Carlos Bejines and Sergio Ardanza-Trevijano and Jorge Elorza},
     journal = {Int. J. Approx. Reason.},
     title = {Aggregation of fuzzy graphs},
     year = {2024},
     pages = {109243},
     volume = {172},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/ijar/TalaveraBAE24.bib},
     doi = {10.1016/J.IJAR.2024.109243},
     timestamp = {Mon, 09 Dec 2024 00:00:00 +0100},
     url = {https://doi.org/10.1016/j.ijar.2024.109243},
}

Bibliometric data

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Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] I. P. Cabrera, S. Ferré, and S. Obiedkov. “Selected papers from the First International Joint Conference on Conceptual Knowledge Structures”. In: International Journal of Approximate Reasoning 175 (Dec. 2024), p. 109303. ISSN: 0888-613X. DOI: 10.1016/j.ijar.2024.109303. URL: http://dx.doi.org/10.1016/j.ijar.2024.109303.