Extending formal concept analysis using intuitionistic l-fuzzy sets

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Authors

Ondrej Kridlo

Manuel Ojeda-Aciego

Published

1 January 2017

Publication details

2017 {IEEE} International Conference on Fuzzy Systems, {FUZZ-IEEE} 2017, Naples, Italy, July 9-12, 2017 , pages 1–6.

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Abstract

A two-fold general approach to the theory of formal concept analysis is introduced by considering intuitionistic fuzzy sets valued on a residuated lattice as underlying structure for the construction.

Citation

Please, cite this work as:

[KO17] O. Kridlo and M. Ojeda-Aciego. “Extending formal concept analysis using intuitionistic l-fuzzy sets”. In: 2017 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2017, Naples, Italy, July 9-12, 2017. IEEE, 2017, pp. 1-6. DOI: 10.1109/FUZZ-IEEE.2017.8015570. URL: https://doi.org/10.1109/FUZZ-IEEE.2017.8015570.

@InProceedings{Kridlo2017,
     author = {Ondrej Kridlo and Manuel Ojeda-Aciego},
     booktitle = {2017 {IEEE} International Conference on Fuzzy Systems, {FUZZ-IEEE} 2017, Naples, Italy, July 9-12, 2017},
     title = {Extending formal concept analysis using intuitionistic l-fuzzy sets},
     year = {2017},
     pages = {1–6},
     publisher = {{IEEE}},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/fuzzIEEE/KridloO17.bib},
     doi = {10.1109/FUZZ-IEEE.2017.8015570},
     timestamp = {Tue, 29 Dec 2020 00:00:00 +0100},
     url = {https://doi.org/10.1109/FUZZ-IEEE.2017.8015570},
}

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Extending formal concept analysis using intuitionistic l-fuzzy sets

Cites

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Papers citing this work

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

[1] Z. Gong and J. Zhang. “\delta -granular reduction in formal fuzzy contexts: Boolean reasoning, graph represent and their algorithms”. In: Soft Computing 28.19 (Jul. 2024), p. 10873–10896. ISSN: 1433-7479. DOI: 10.1007/s00500-024-09875-w. URL: http://dx.doi.org/10.1007/s00500-024-09875-w.

[2] O. Kridlo and M. Ojeda-Aciego. “Classifying Adjoint Pairs and Adjoint Triples in an Atanassov L-Fuzzy Framework”. In: IEEE Transactions on Fuzzy Systems 30.3 (Mar. 2022), p. 863–868. ISSN: 1941-0034. DOI: 10.1109/tfuzz.2020.3038482. URL: http://dx.doi.org/10.1109/tfuzz.2020.3038482.

[3] O. Kridlo and M. Ojeda-Aciego. “Towards intuitionistic L-fuzzy formal t-concepts”. In: 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS). IEEE, Jun. 2017, p. 1–6. DOI: 10.1109/ifsa-scis.2017.8023268. URL: http://dx.doi.org/10.1109/ifsa-scis.2017.8023268.

[4] O. Krídlo and M. Ojeda-Aciego. “An Adjoint Pair for Intuitionistic L-Fuzzy Values”. In: Trends in Mathematics and Computational Intelligence. Springer International Publishing, Oct. 2018, p. 167–173. ISBN: 9783030004859. DOI: 10.1007/978-3-030-00485-9_19. URL: http://dx.doi.org/10.1007/978-3-030-00485-9_19.

[5] M. Liang, J. Mi, T. Feng, et al. “Attribute reduction in intuitionistic fuzzy formal concepts”. In: Journal of Intelligent & Fuzzy Systems 43.3 (Jul. 2022), p. 3561–3573. ISSN: 1875-8967. DOI: 10.3233/jifs-202719. URL: http://dx.doi.org/10.3233/jifs-202719.

[6] L. Zou, H. Lin, X. Song, et al. “Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice”. In: International Journal of Approximate Reasoning 133 (Jun. 2021), p. 1–16. ISSN: 0888-613X. DOI: 10.1016/j.ijar.2020.12.018. URL: http://dx.doi.org/10.1016/j.ijar.2020.12.018.