1998 | OriginalPaper | Buchkapitel
Dependencies between Many-Valued Attributes
verfasst von : Michael Luxenburger
Erschienen in: Incomplete Information: Rough Set Analysis
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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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.