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Hybrid feature selection with novel deep learning model for COVID-19 risk prediction. [PDF]

open access: yesSci Rep
P GS   +5 more
europepmc   +1 more source

Fuzzy Probabilistic Approximation Spaces and Their Information Measures

IEEE Transactions on Fuzzy Systems, 2006
Rough set theory has proven to be an efficient tool for modeling and reasoning with uncertainty information. By introducing probability into fuzzy approximation space, a theory about fuzzy probabilistic approximation spaces is proposed in this paper, which combines three types of uncertainty: probability, fuzziness, and roughness into a rough set model.
Qinghua Hu, Jinfu Liu, Zongxia Xie
exaly   +2 more sources

On the completeness of fuzzy measure-space

Fuzzy Sets and Systems, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yian-Kui Liu, Guangquan Zhang 0001
openaire   +1 more source

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