Description: Fuzzy Database Modeling of Imprecise And Uncertain Engineering Information, Hardcover by Ma, Zongmin, ISBN 3540306757, ISBN-13 9783540306757, Like New Used, Free shipping in the US 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.
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Book Title: Fuzzy Database Modeling of Imprecise And Uncertain Engineering In
Number of Pages: Xvi, 210 Pages
Language: English
Publication Name: Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Data Modeling & Design, System Theory, Applied, Databases / General
Publication Year: 2006
Item Weight: 38.8 Oz
Type: Textbook
Author: Zongmin Ma
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Mixed Lot
