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2017
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
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The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
openaire +1 more source
Rough Set Based Decision Support
2006In this chapter, we are concerned with discovering knowledge from data. The aim is to find concise classification patterns that agree with situations that are described by the data. Such patterns are useful for explanation of the data and for the prediction of future situations.
SLOWINSKI R +2 more
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2019
Shivani Singh +3 more
semanticscholar +1 more source
Shivani Singh +3 more
semanticscholar +1 more source
Fuzzy rough set-based attribute reduction using distance measures
Knowledge-Based Systems, 2019Changzhong Wang +3 more
semanticscholar +1 more source
Rough set based semi-supervised feature selection via ensemble selector
Knowledge-Based Systems, 2019Keyu Liu +5 more
semanticscholar +1 more source