Inverse inference based on interpretable constrained solutions of fuzzy relational equations with extended max–min composition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09301-7.pdf
Reference40 articles.
1. Azarov O, Krupelnitskyi L, Rakytyanska H (2021) Sound field reconstruction from incomplete data by solving fuzzy relational equations. In: Babichev S, Lytvynenko V, Wójcik W, Vyshemyrskaya S (eds) Lecture notes in computational intelligence and decision making. ISDMCI 2020. Advances in intelligent systems and computing, vol 1246. Springer, Cham, pp 547–566. https://doi.org/10.1007/978-3-030-54215-3_35
2. Bartl E, Belohlavek R (2015) Hardness of solving relational equations. IEEE Trans Fuzzy Syst 23(6):2435–2438. https://doi.org/10.1109/TFUZZ.2015.2394396
3. Bartl E, Prochazka P (2017) Do we need minimal solutions of fuzzy relational equations in advance? IEEE Trans Fuzzy Syst 25(5):1356–1363. https://doi.org/10.1109/TFUZZ.2016.2598860
4. Bartl E, Trnecka M (2021) Covering of minimal solutions to fuzzy relational equations. Int J General Syst 50(2):117–138. https://doi.org/10.1080/03081079.2020.1865340
5. Bartl E, Belohlavek R, Vychodil V (2012) Bivalent and other solutions of fuzzy relational equations via linguistic hedges. Fuzzy Sets Syst 187(1):103–112. https://doi.org/10.1016/j.fss.2011.05.020
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