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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Hardcover, 2006 ed.) Loot Price: R2,915
Discovery Miles 29 150
Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Hardcover, 2006 ed.): Zongmin Ma

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Hardcover, 2006 ed.)

Zongmin Ma

Series: Studies in Fuzziness and Soft Computing, 195

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Loot Price R2,915 Discovery Miles 29 150 | Repayment Terms: R273 pm x 12*

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Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today's database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 195
Release date: February 2006
First published: 2006
Authors: Zongmin Ma
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 210
Edition: 2006 ed.
ISBN-13: 978-3-540-30675-7
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
LSN: 3-540-30675-7
Barcode: 9783540306757

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