Abstract
In this paper, the matrix representations and interdependency of a pair of L-fuzzy covering-based approximation operators are investigated. The aim of matrix representations of lower and upper approximation operators is to make calculation more valid by means of operations on matrices. Furthermore, in accordance with the concept of \(\beta \)-base, we give a necessary and sufficient condition under what two L-fuzzy \(\beta \)-coverings can generate the same lower and upper approximation operations.
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Acknowledgments
This research was supported by the National Natural Science Foundation of China (Grant no. 12101500) and the Chinese Universities Scientific Fund (Grant nos. 2452018054 and 2452022370).
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Li, W., Yang, B. (2022). Matrix Representations and Interdependency on an L-fuzzy Covering-Based Rough Set. In: Yao, J., Fujita, H., Yue, X., Miao, D., Grzymala-Busse, J., Li, F. (eds) Rough Sets. IJCRS 2022. Lecture Notes in Computer Science(), vol 13633. Springer, Cham. https://doi.org/10.1007/978-3-031-21244-4_11
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