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Dependencies in fuzzy databases: functional dependency

Authors: M. Nakata;

Dependencies in fuzzy databases: functional dependency

Abstract

Classical and fuzzy functional dependencies, which consist of an important class of constraints, are examined in fuzzy relational databases. The truth value of a proposition expressing a functional dependency is not a binary value even for a classical functional dependency in fuzzy relational databases. Each tuple has a compatibility degree with a functional dependency degree which is contained in the interval [0, 1]. In each tuple it is determined by the comparison of the compatibility degree with the value of membership attribute whether that tuple satisfies the functional dependency. This means that the functional dependency is dealt with in the same manner as the other constraints. Armstrong's inference rules are sound and complete for classical functional dependencies as well as in relational databases, but they are not for fuzzy functional dependencies. Sound and complete inference rules different from Armstrong's ones hold for fuzzy functional dependencies. >

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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