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As an extension of these researches, it is necessary to study these inequalities in the context of fuzzy rough theory.
With Nozick's explanation of what one must know in order to live well, we have an interesting and quite attractive, albeit somewhat rough, theory of wisdom.
On the basis of these inequalities, in possibility and rough theory, Liu [18] proved that these analogous inequalities hold both for fuzzy variables and rough variables.
However, the theorems and conclusions presented in this paper would also make an important contribution to practical applications of the fuzzy rough theory.
The novel approach engages rough theory as a knowledge extraction tool to work on the past diagnostic records, which is registered in a pair-wise comparison table.
On the basis of the inequality presented in Theorem 6, the well-known Markov inequality and the Chebyshev inequality in probability theory are proved in the context of fuzzy rough theory as follows, which can be seen as special cases of Theorem 6.
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Following the protocol for a realist review, the candidate theories (or 'initial rough theories' 14) will guide the understanding of the context-mechanism-outcome relationship for engaging older adults.
This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory.
In Rough Sets Theory Analysis Module, Rough Sets Theory (RST) is used to calculate configuration rules in incomplete configuration information system to assist product designers in mapping performance space to configuration space.
Therefore, many papers are presented which combine rough set theory with Shannon's entropy theory for data labeling and outlier detection [21 23].
Thus one of the aims of many researchers working on rough set theory has been to generalize this theory.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com