Abstract
The nature of uncertainty inference is to give evaluations on inclusion relationships by means of various measures. In this paper we introduce the concept of inclusion degrees into rough set theory. It is shown that the lower approximations of the rough set theory in both the crisp and the fuzzy environments can be represented as inclusion degrees.
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Acknowledgments
This work was supported by grants from the National Natural Science Foundation of China (Nos. 61573321, 61272021, 61602415, and 41631179) and the Open Foundation from Marine Sciences in the Most Important Subjects of Zhejiang (No. 20160102).
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Wu, WZ., Chen, CJ., Wang, X. (2016). Interpretations of Lower Approximations in Inclusion Degrees. In: Flores, V., et al. Rough Sets. IJCRS 2016. Lecture Notes in Computer Science(), vol 9920. Springer, Cham. https://doi.org/10.1007/978-3-319-47160-0_27
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DOI: https://doi.org/10.1007/978-3-319-47160-0_27
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