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1998 | OriginalPaper | Buchkapitel

Dependencies between Many-Valued Attributes

verfasst von : Michael Luxenburger

Erschienen in: Incomplete Information: Rough Set Analysis

Verlag: Physica-Verlag HD

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A variety of forms of dependencies in empirical data is studied. It is shown how the existing models can be extended in order to capture the revelant features of data. In particular, scaling of data in the context-style models is investigated and an algebraic framework is proposed for processing scales. A deduction system for providing data dependencies in scaled context is given.

Metadaten
Titel
Dependencies between Many-Valued Attributes
verfasst von
Michael Luxenburger
Copyright-Jahr
1998
Verlag
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-7908-1888-8_10

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