Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information - Studies in Fuzziness and Soft Computing 195 (Hardback)
  • Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information - Studies in Fuzziness and Soft Computing 195 (Hardback)
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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information - Studies in Fuzziness and Soft Computing 195 (Hardback)

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£129.99
Hardback 210 Pages / Published: 09/02/2006
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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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540306757
Number of pages: 210
Weight: 1100 g
Dimensions: 235 x 155 x 14 mm
Edition: 2006 ed.


MEDIA REVIEWS

From the reviews:

"The book offers a survey of fuzzy approaches to databases that serve for engineering applications. ... The main value of the book is that it describes fuzzy approaches to databases in two levels: conceptual and logical. This makes the book different from other ones in this area and can be recommended to interested readers." (Jaroslav Pokorny, Zentralblatt MATH, Vol. 1125 (2), 2008)

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