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Item Details
| Title:
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FUZZY DATABASE MODELING OF IMPRECISE AND UNCERTAIN ENGINEERING INFORMATION
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| By: |
Zongmin Ma |
| Format: |
Paperback |
| List price:
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£129.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3642067956 |
| ISBN 13: |
9783642067952 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
22 November, 2010 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2006 |
| Series: |
Studies in Fuzziness and Soft Computing 195 |
| Pages: |
210 |
| Synopsis: |
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. |
| Illustrations: |
5 Tables, black and white; XVI, 210 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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