Multi-adjoint concept lattices with heterogeneous conjunctors and hedges
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[KMO14] J. Konecny, J. Medina, and M. Ojeda-Aciego. “Multi-adjoint concept lattices with heterogeneous conjunctors and hedges”. In: Ann. Math. Artif. Intell. 72.1-2 (2014), pp. 73-89. DOI: 10.1007/S10472-014-9405-Y. URL: https://doi.org/10.1007/s10472-014-9405-y.
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[1] L. Antoni, S. Krajči, and O. Krídlo. “Constraint heterogeneous concept lattices and concept lattices with heterogeneous hedges”. In: Fuzzy Sets and Systems 303 (Nov. 2016), p. 21–37. ISSN: 0165-0114. DOI: 10.1016/j.fss.2015.12.007. URL: http://dx.doi.org/10.1016/j.fss.2015.12.007.
[2] L. Antoni, S. Krajči, and O. Krídlo. “On Fuzzy Generalizations of Concept Lattices”. In: Interactions Between Computational Intelligence and Mathematics. Springer International Publishing, 2018, p. 79–103. ISBN: 9783319746814. DOI: 10.1007/978-3-319-74681-4_6. URL: http://dx.doi.org/10.1007/978-3-319-74681-4_6.
[3] L. Antoni, S. Krajči, and O. Krídlo. “On stability of fuzzy formal concepts over randomized one-sided formal context”. In: Fuzzy Sets and Systems 333 (Feb. 2018), p. 36–53. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.04.006. URL: http://dx.doi.org/10.1016/j.fss.2017.04.006.
[4] L. Antoni, S. Krajči, and O. Krídlo. “Randomized Fuzzy Formal Contexts and Relevance of One-Sided Concepts”. In: Formal Concept Analysis. Springer International Publishing, 2015, p. 183–199. ISBN: 9783319195452. DOI: 10.1007/978-3-319-19545-2_12. URL: http://dx.doi.org/10.1007/978-3-319-19545-2_12.
[5] L. Antoni, S. Krajči, and O. Krídlo. “Representation of fuzzy subsets by Galois connections”. In: Fuzzy Sets and Systems 326 (Nov. 2017), p. 52–68. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.05.020. URL: http://dx.doi.org/10.1016/j.fss.2017.05.020.
[6] E. Bartl and M. Krupka. “Residuated lattices of block relations: size reduction of concept lattices”. In: International Journal of General Systems 45.7–8 (May. 2016), p. 773–789. ISSN: 1563-5104. DOI: 10.1080/03081079.2016.1144601. URL: http://dx.doi.org/10.1080/03081079.2016.1144601.
[7] M. J. Benítez-Caballero, J. Medina, E. Ramírez-Poussa, et al. “Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis”. In: Fuzzy Sets and Systems 391 (Jul. 2020), p. 117–138. ISSN: 0165-0114. DOI: 10.1016/j.fss.2019.11.009. URL: http://dx.doi.org/10.1016/j.fss.2019.11.009.
[8] M. E. Cornejo Piñero, J. Medina-Moreno, and E. Ramírez-Poussa. “Fuzzy-Attributes and a Method to Reduce Concept Lattices”. In: Rough Sets and Current Trends in Soft Computing. Springer International Publishing, 2014, p. 189–200. ISBN: 9783319086446. DOI: 10.1007/978-3-319-08644-6_20. URL: http://dx.doi.org/10.1007/978-3-319-08644-6_20.
[9] M. E. Cornejo, J. Medina, and E. Ramírez-Poussa. “Attribute and size reduction mechanisms in multi-adjoint concept lattices”. In: Journal of Computational and Applied Mathematics 318 (Jul. 2017), p. 388–402. ISSN: 0377-0427. DOI: 10.1016/j.cam.2016.07.012. URL: http://dx.doi.org/10.1016/j.cam.2016.07.012.
[10] M. E. Cornejo, J. Medina, and E. Ramírez-Poussa. “On the use of irreducible elements for reducing multi-adjoint concept lattices”. In: Knowledge-Based Systems 89 (Nov. 2015), p. 192–202. ISSN: 0950-7051. DOI: 10.1016/j.knosys.2015.07.003. URL: http://dx.doi.org/10.1016/j.knosys.2015.07.003.
[11] C. De Maio, G. Fenza, V. Loia, et al. “Online query-focused twitter summarizer through fuzzy lattice”. In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Aug. 2015, p. 1–8. DOI: 10.1109/fuzz-ieee.2015.7337927. URL: http://dx.doi.org/10.1109/fuzz-ieee.2015.7337927.
[12] P. Eklund, M. Á. Galán García, J. Kortelainen, et al. “Monadic Formal Concept Analysis”. In: Rough Sets and Current Trends in Soft Computing. Springer International Publishing, 2014, p. 201–210. ISBN: 9783319086446. DOI: 10.1007/978-3-319-08644-6_21. URL: http://dx.doi.org/10.1007/978-3-319-08644-6_21.
[13] F. Kardoš, J. Pócs, and J. Pócsová. “On concept reduction based on some graph properties”. In: Knowledge-Based Systems 93 (Feb. 2016), p. 67–74. ISSN: 0950-7051. DOI: 10.1016/j.knosys.2015.11.003. URL: http://dx.doi.org/10.1016/j.knosys.2015.11.003.
[14] J. Konecny and P. Osicka. “Triadic concept lattices in the framework of aggregation structures”. In: Information Sciences 279 (Sep. 2014), p. 512–527. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.04.006. URL: http://dx.doi.org/10.1016/j.ins.2014.04.006.
[15] 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). IEEE, Jul. 2017, p. 1–6. DOI: 10.1109/fuzz-ieee.2017.8015570. URL: http://dx.doi.org/10.1109/fuzz-ieee.2017.8015570.
[16] 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.
[17] M. Krupka. “Basic theorem of fuzzy concept lattices revisited”. In: Fuzzy Sets and Systems 333 (Feb. 2018), p. 54–70. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.04.007. URL: http://dx.doi.org/10.1016/j.fss.2017.04.007.
[18] N. Madrid and M. Ojeda-Aciego. “Multi-adjoint lattices from adjoint triples with involutive negation”. In: Fuzzy Sets and Systems 405 (Feb. 2021), p. 88–105. ISSN: 0165-0114. DOI: 10.1016/j.fss.2019.12.004. URL: http://dx.doi.org/10.1016/j.fss.2019.12.004.
[19] N. Madrid and M. Ojeda-Aciego. “The f-index of inclusion as optimal adjoint pair for fuzzy modus ponens”. In: Fuzzy Sets and Systems 466 (Aug. 2023), p. 108474. ISSN: 0165-0114. DOI: 10.1016/j.fss.2023.01.009. URL: http://dx.doi.org/10.1016/j.fss.2023.01.009.
[20] N. Madrid, M. Ojeda-Aciego, J. Medina, et al. “L-fuzzy relational mathematical morphology based on adjoint triples”. In: Information Sciences 474 (Feb. 2019), p. 75–89. ISSN: 0020-0255. DOI: 10.1016/j.ins.2018.09.028. URL: http://dx.doi.org/10.1016/j.ins.2018.09.028.
[21] K. Pang, C. Fu, L. Martínez, et al. “An extended multi-expert concept lattice-based heterogeneous multi-attribute group decision-making approach”. In: Information Sciences 665 (Apr. 2024), p. 120345. ISSN: 0020-0255. DOI: 10.1016/j.ins.2024.120345. URL: http://dx.doi.org/10.1016/j.ins.2024.120345.
[22] M. Smatana and P. Butka. “Extraction of keyphrases from single document based on hierarchical concepts”. In: 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, Jan. 2016, p. 93–98. DOI: 10.1109/sami.2016.7422988. URL: http://dx.doi.org/10.1109/sami.2016.7422988.
[23] D. Vukadinović, T. D. Nguyen, C. H. Nguyen, et al. “Hedge-Algebra-Based Phase-Locked Loop for Distorted Utility Conditions”. In: Journal of Control Science and Engineering 2019 (Mar. 2019), p. 1–17. ISSN: 1687-5257. DOI: 10.1155/2019/3590527. URL: http://dx.doi.org/10.1155/2019/3590527.
[24] V. Vychodil. “Computing sets of graded attribute implications with witnessed non-redundancy”. In: Information Sciences 351 (Jul. 2016), p. 90–100. ISSN: 0020-0255. DOI: 10.1016/j.ins.2016.03.004. URL: http://dx.doi.org/10.1016/j.ins.2016.03.004.
[25] V. Vychodil. “Parameterizing the Semantics of Fuzzy Attribute Implications by Systems of Isotone Galois Connections”. In: IEEE Transactions on Fuzzy Systems 24.3 (Jun. 2016), p. 645–660. ISSN: 1941-0034. DOI: 10.1109/tfuzz.2015.2470530. URL: http://dx.doi.org/10.1109/tfuzz.2015.2470530.