Several L-fuzzy variable precision rough sets and their axiomatic characterizations
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09183-9.pdf
Reference43 articles.
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3. Abu Arqub O, Singh J, Maayah B et al (2023) Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag-Leffler kernel differential operator, Math Methods Appl Sci 46,7:7965–7986
4. Alshammari M, Al-Smadi M, Arqub OA et al (2020) Residual series representation algorithm for solving fuzzy duffing oscillator equations. Symmetry 12(4):572
5. Bao YL, Yang HL, She YH (2018) Using one axiom to characterize $$L$$-fuzzy rough approximation operators based on residuated lattices. Fuzzy Sets Syst 336:87–115
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1. -valued variable precision rough sets;International Journal of General Systems;2024-05-31
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