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*Calculated from rough data; ‡estimated based on rough data i.e. the numbers of admissions were calculated by dividing the patient-days by the length of hospital stay; 95% CI indicates the 95% confidence interval; †this study solely included surgical patients.
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Since the design rules are difficult to extract during the design process, the reduction algorithm based on rough set theory is applied to data mining.
The value of 30 was based on rough experience and on a quick visual inspection of the data, and was probably not the optimal choice.
The input data used to calculate these criteria are likely based on rough estimates and are often unreliable.
In this paper, based on rough set theory we address the problem of feature selection for cost-sensitive data with missing values.
As a necessary step for knowledge discovery based on rough sets, the fuzzy rough approximations of fuzzy ISTU need to be updated efficiently under dynamic data environment.
To solve the problem of effective of categorization of text data in taxation system, the paper analyses the text data and the size calculation of key issues first, then designs text categorization based on rough set model.
This work promotes a novel point of view in rough set applications: rough sets rule learning for ordinal prediction is based on rough graphical representation of the rules.
Two forms of neural computation are considered: fuzzy neural computation based on fuzzy sets and rough neural computation based on rough sets.
The Franco-German alliance was based on rough equality between these two continental powers.
A fast attribute reduction algorithm based on rough set theory was proposed in [30].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com