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Taschenbuch. Condition: Neu. Fuzzy Database Modeling | Adnan Yazici (u. a.) | Taschenbuch | xiv | Englisch | 2013 | Physica | EAN 9783662118092 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Published by Springer Nature B.V., 2014
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book. 234 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research in all aspects of database modeling - conceptual, logical and physicalDetails of solution implementations are also presentedSome recent fuzzy database modeling advances for the non-traditional applications are introduced in thi.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research in all aspects of database modeling - conceptual, logical and physicalDetails of solution implementations are also presentedSome recent fuzzy database modeling advances for the non-traditional applications are introduced in thi.
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