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Trabelsi et al., 2011 - Google Patents

Classification systems based on rough sets under the belief function framework

Trabelsi et al., 2011

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Document ID
5812518897409783332
Author
Trabelsi S
Elouedi Z
Lingras P
Publication year
Publication venue
International Journal of Approximate Reasoning

External Links

Snippet

In this paper, we present two classification approaches based on Rough Sets (RS) that are able to learn decision rules from uncertain data. We assume that the uncertainty exists only in the decision attribute values of the Decision Table (DT) and is represented by the belief …
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Classifications

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    • G06K9/6279—Classification techniques relating to the number of classes
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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