Fuzzy functional dependencies: {A} comparative survey

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Authors

L. Jezková

Pablo Cordero

Manuel Enciso

Published

1 January 2017

Publication details

Fuzzy Sets Syst. vol. 317 , pages 88–120.

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Abstract

Citation

Please, cite this work as:

[JCE17] L. Jezková, P. Cordero, and M. Enciso. “Fuzzy functional dependencies: A comparative survey”. In: Fuzzy Sets Syst. 317 (2017), pp. 88-120. DOI: 10.1016/J.FSS.2016.06.019. URL: https://doi.org/10.1016/j.fss.2016.06.019.

@Article{Jezkova2017,
     author = {L. Jezkov{’a} and Pablo Cordero and Manuel Enciso},
     journal = {Fuzzy Sets Syst.},
     title = {Fuzzy functional dependencies: {A} comparative survey},
     year = {2017},
     pages = {88–120},
     volume = {317},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/fss/JezkovaCE17.bib},
     doi = {10.1016/J.FSS.2016.06.019},
     timestamp = {Wed, 19 Feb 2020 00:00:00 +0100},
     url = {https://doi.org/10.1016/j.fss.2016.06.019},
}

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Fuzzy functional dependencies: {A} comparative survey

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Papers citing this work

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

[1] R. Belohlavek and V. Vychodil. “Relational similarity-based model of data part 2: dependencies in data”. In: International Journal of General Systems 47.1 (Aug. 2017), p. 1–50. ISSN: 1563-5104. DOI: 10.1080/03081079.2017.1357551. URL: http://dx.doi.org/10.1080/03081079.2017.1357551.

[2] T. Cao. “A relational database model and algebra integrating fuzzy attributes and probabilistic tuples”. In: Fuzzy Sets and Systems 445 (Sep. 2022), p. 123–146. ISSN: 0165-0114. DOI: 10.1016/j.fss.2021.10.017. URL: http://dx.doi.org/10.1016/j.fss.2021.10.017.

[3] T. Cao, H. Nguyen, A. Inoue, et al. “A Probabilistic Relational Database Model with Fuzzy Attribute Values”. In: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Jun. 2019, p. 1–6. DOI: 10.1109/fuzz-ieee.2019.8858914. URL: http://dx.doi.org/10.1109/fuzz-ieee.2019.8858914.

[4] P. Cordero, M. Enciso, D. López-Rodríguez, et al. “fcaR, Formal Concept Analysis with R”. In: The R Journal 14.1 (Jun. 2022), p. 341–361. ISSN: 2073-4859. DOI: 10.32614/rj-2022-014. URL: http://dx.doi.org/10.32614/rj-2022-014.

[5] P. Cordero, M. Enciso, and A. Mora. “Directness in Fuzzy Formal Concept Analysis”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. Springer International Publishing, 2018, p. 585–595. ISBN: 9783319914732. DOI: 10.1007/978-3-319-91473-2_50. URL: http://dx.doi.org/10.1007/978-3-319-91473-2_50.

[6] P. Cordero, M. Enciso, A. Mora, et al. “Parameterized simplification logic I: reasoning with implications and classes of closure operators”. In: International Journal of General Systems 49.7 (Oct. 2020), p. 724–746. ISSN: 1563-5104. DOI: 10.1080/03081079.2020.1831484. URL: http://dx.doi.org/10.1080/03081079.2020.1831484.

[7] P. Cordero, M. Enciso, A. Mora, et al. “Parameterized Simplification Logic: Reasoning With Implications in an Automated Way”. In: IEEE Transactions on Fuzzy Systems 30.12 (Dec. 2022), p. 5534–5543. ISSN: 1941-0034. DOI: 10.1109/tfuzz.2022.3179847. URL: http://dx.doi.org/10.1109/tfuzz.2022.3179847.

[8] D. Gatto, R. Leonardis, D. Napolitano, et al. “Fuzzy Inference System and Fuzzy Neural Inference System Applied to Risk Matrix Classification in Projects: Sistema de Inferência Fuzzy e Sistema de Inferência Neural Fuzzy Aplicados à Classificação de Matrizes de Risco em Projetos”. In: Concilium 23.11 (Jun. 2023), p. 498–519. ISSN: 0010-5236. DOI: 10.53660/clm-1478-23h18. URL: http://dx.doi.org/10.53660/clm-1478-23h18.

[9] M. Le Guilly, J. Petit, and M. Scuturici. “A First Experimental Study on Functional Dependencies for Imbalanced Datasets Classification”. In: Information Search, Integration, and Personalization. Springer International Publishing, 2019, p. 116–133. ISBN: 9783030302849. DOI: 10.1007/978-3-030-30284-9_8. URL: http://dx.doi.org/10.1007/978-3-030-30284-9_8.

[10] K. Myszkorowski. “Integrity Rules for Multiargument Relationships in Possibilistic Databases”. En. In: Journal of Applied Computer Science (2020), p. Tom 24 Nr 3 (2016): Journal of Applied Computer Science. DOI: 10.34658/JACS.2016.24.3.21-32. URL: https://eczasopisma.p.lodz.pl/JACS/article/view/261.

[11] L. Nourine, J. Petit, and S. Vilmin. “Towards declarative comparabilities: Application to functional dependencies”. In: Journal of Computer and System Sciences 146 (Dec. 2024), p. 103576. ISSN: 0022-0000. DOI: 10.1016/j.jcss.2024.103576. URL: http://dx.doi.org/10.1016/j.jcss.2024.103576.

[12] M. Ojeda-Hernández, I. P. Cabrera, and P. Cordero. “Quasi-closed elements in fuzzy posets”. In: Journal of Computational and Applied Mathematics 404 (Apr. 2022), p. 113390. ISSN: 0377-0427. DOI: 10.1016/j.cam.2021.113390. URL: http://dx.doi.org/10.1016/j.cam.2021.113390.

[13] M. Vučetić, M. Hudec, and B. Božilović. “Fuzzy functional dependencies and linguistic interpretations employed in knowledge discovery tasks from relational databases”. In: Engineering Applications of Artificial Intelligence 88 (Feb. 2020), p. 103395. ISSN: 0952-1976. DOI: 10.1016/j.engappai.2019.103395. URL: http://dx.doi.org/10.1016/j.engappai.2019.103395.