Aggregation of fuzzy subgroups

 

Abstract

Citation

Please, cite this work as:

[BCE21] C. Bejines, M. Chasco, and J. Elorza. “Aggregation of fuzzy subgroups”. In: Fuzzy Sets Syst. 418 (2021), pp. 170-184. DOI: 10.1016/J.FSS.2020.05.017. URL: https://doi.org/10.1016/j.fss.2020.05.017.

NoteBibTeX

@Article{Bejines2021b,
     author = {Carlos Bejines and Mar'Jes{’u}s Chasco and Jorge Elorza},
     journal = {Fuzzy Sets Syst.},
     title = {Aggregation of fuzzy subgroups},
     year = {2021},
     pages = {170–184},
     volume = {418},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/fss/BejinesCE21.bib},
     doi = {10.1016/J.FSS.2020.05.017},
     timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
     url = {https://doi.org/10.1016/j.fss.2020.05.017},
}

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Aggregation of fuzzy subgroups

Cites

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Papers citing this work

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

[1] S. Ardanza-Trevijano, M. Chasco, J. Elorza, et al. “Aggregation of T-subgroups”. In: Fuzzy Sets and Systems 463 (Jul. 2023), p. 108390. ISSN: 0165-0114. DOI: 10.1016/j.fss.2022.08.022. URL: http://dx.doi.org/10.1016/j.fss.2022.08.022.

[2] I. B. Batunna, H. O. Monim, and J. Sesa. “Study Of Fuzzy Groups In Z_p-0 Group”. In: Jurnal Matematika, Statistika dan Komputasi 20.3 (May. 2024), p. 580–595. ISSN: 1858-1382. DOI: 10.20956/j.v20i3.31827. URL: http://dx.doi.org/10.20956/j.v20i3.31827.

[3] C. Bejines. “Aggregation of fuzzy vector spaces”. In: Kybernetika (Dec. 2023), p. 752–767. ISSN: 1805-949X. DOI: 10.14736/kyb-2023-5-0752. URL: http://dx.doi.org/10.14736/kyb-2023-5-0752.

[4] C. Bejines, S. Ardanza-Trevijano, and J. Elorza. “On Self-Aggregations of Min-Subgroups”. In: Axioms 10.3 (Aug. 2021), p. 201. ISSN: 2075-1680. DOI: 10.3390/axioms10030201. URL: http://dx.doi.org/10.3390/axioms10030201.

[5] C. Bejines, M. Ojeda-Hernández, and D. López-Rodríguez. “Analysis of Fuzzy Vector Spaces as an Algebraic Framework for Flag Codes”. In: Mathematics 12.3 (Feb. 2024), p. 498. ISSN: 2227-7390. DOI: 10.3390/math12030498. URL: http://dx.doi.org/10.3390/math12030498.

[6] S. Kousar, T. Saleem, N. Kausar, et al. “Homomorphisms of Lattice-Valued Intuitionistic Fuzzy Subgroup Type-3”. In: Computational Intelligence and Neuroscience 2022 (Apr. 2022). Ed. by A. M. Anter, p. 1–11. ISSN: 1687-5265. DOI: 10.1155/2022/6847138. URL: http://dx.doi.org/10.1155/2022/6847138.

[7] Z. Kurač. “Transfer-stable aggregation functions: Applications, challenges, and emerging trends”. In: Decision Analytics Journal 7 (Jun. 2023), p. 100210. ISSN: 2772-6622. DOI: 10.1016/j.dajour.2023.100210. URL: http://dx.doi.org/10.1016/j.dajour.2023.100210.

[8] I. Masmali, U. Shuaib, A. Razaq, et al. “On Fundamental Algebraic Characterizations ofμ-Fuzzy Normal Subgroups”. In: Journal of Function Spaces 2022 (May. 2022). Ed. by M. S. Abdo, p. 1–10. ISSN: 2314-8896. DOI: 10.1155/2022/2703489. URL: http://dx.doi.org/10.1155/2022/2703489.

[9] T. Pedraza and J. Rodríguez-López. “Aggregation of L-Probabilistic Quasi-Uniformities”. In: Mathematics 8.11 (Nov. 2020), p. 1980. ISSN: 2227-7390. DOI: 10.3390/math8111980. URL: http://dx.doi.org/10.3390/math8111980.

[10] F. J. Talavera, S. Ardanza-Trevijano, J. Bragard, et al. “New types of domination to characterize the preservation of T-subgroups under aggregation”. In: Fuzzy Sets and Systems 498 (Jan. 2025), p. 109139. ISSN: 0165-0114. DOI: 10.1016/j.fss.2024.109139. URL: http://dx.doi.org/10.1016/j.fss.2024.109139.

[11] F. J. Talavera, C. Bejines, S. Ardanza-Trevijano, et al. “Aggregation of fuzzy graphs”. In: International Journal of Approximate Reasoning 172 (Sep. 2024), p. 109243. ISSN: 0888-613X. DOI: 10.1016/j.ijar.2024.109243. URL: http://dx.doi.org/10.1016/j.ijar.2024.109243.

[12] F. Talavera, S. Ardanza-Trevijano, J. Bragard, et al. “Aggregation of T-subgroups of groups whose subgroup lattice is a chain”. In: Fuzzy Sets and Systems 473 (Dec. 2023), p. 108717. ISSN: 0165-0114. DOI: 10.1016/j.fss.2023.108717. URL: http://dx.doi.org/10.1016/j.fss.2023.108717.

[13] X. Tian, J. Ma, L. Li, et al. “Development of prospect theory in decision making with different types of fuzzy sets: A state-of-the-art literature review”. In: Information Sciences 615 (Nov. 2022), p. 504–528. ISSN: 0020-0255. DOI: 10.1016/j.ins.2022.10.016. URL: http://dx.doi.org/10.1016/j.ins.2022.10.016.