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Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory
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Fuzzy Databases - Principles and Applications (Hardcover, 1996 ed.)
Loot Price: R2,779
Discovery Miles 27 790
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Fuzzy Databases - Principles and Applications (Hardcover, 1996 ed.)
Series: International Series in Intelligent Technologies, 5
Expected to ship within 18 - 22 working days
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This volume presents the results of approximately 15 years of work
from researchers around the world on the use of fuzzy set theory to
represent imprecision in databases. The maturity of the research in
the discipline and the recent developments in commercial/industrial
fuzzy databases provided an opportunity to produce this survey.
Fuzzy Databases: Principles and Applications is self-contained
providing background material on fuzzy sets and database theory. It
is comprehensive covering all of the major approaches and models of
fuzzy databases that have been developed including coverage of
commercial/industrial systems and applications. Background and
introductory material are provided in the first two chapters. The
major approaches in fuzzy databases comprise the second part of the
volume. This includes the use of similarity and proximity measures
as the fuzzy techniques used to extend the relational data modeling
and the use of possibility theory approaches in the relational
model. Coverage includes extensions to the data model, querying
approaches, functional dependencies and other topics including
implementation issues, information measures, database security,
alternative fuzzy data models, the IFO model, and the network data
models. A number of object-oriented extensions are also discussed.
The use of fuzzy data modeling in geographical information systems
(GIS) and use of rough sets in rough and fuzzy rough relational
data models are presented. Major emphasis has been given to
applications and commercialization of fuzzy databases. Several
specific industrial/commercial products and applications are
described. These include approaches to developing fuzzy front-end
systems andspecial-purpose systems incorporating fuzziness.
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