Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information - Couverture souple

Ma, Zongmin

9783642067952: Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

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ISBN 10 : 3642067956 ISBN 13 : 9783642067952

Editeur : Springer, 2010

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This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.

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�diteur: Springer
Date d'�dition: 2010
Langue: anglais
ISBN 10: 3642067956
ISBN 13: 9783642067952
Reliure: Broch�
Num�ro d'�dition: 1
Nombre de pages: 228
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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Zongmin Ma

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642067956 ISBN 13 : 9783642067952

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces fuzzy database modeling advances for engineering applicationsComputer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More . N� de r�f. du vendeur 5045884

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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Zongmin Ma

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642067956 ISBN 13 : 9783642067952

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783642067952

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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Zongmin Ma

Edit� par Springer Berlin Heidelberg Nov 2010, 2010

ISBN 10 : 3642067956 ISBN 13 : 9783642067952

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 228 pp. Englisch. N� de r�f. du vendeur 9783642067952

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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Zongmin Ma

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010

ISBN 10 : 3642067956 ISBN 13 : 9783642067952

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch. N� de r�f. du vendeur 9783642067952

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