Overview
- A Mathematical Model for the New Generation of Databases
- Includes a simple introduction to relational databases systems
- New concept of a confidence index set (ciset)
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 130)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making systems based on data from multiple sources with varying reliability. In this book a model for the next generation of database systems is presented. It is demonstrated how to quantize favorable and unfavorable qualitative facts so that they can be stored and processed efficiently, as well as how to use the reliability of the contributing sources in our decision makings. The concept of a confidence index set (ciset), is introduced in order to mathematically model the above issues. A simple introduction to relational database systems is given allowing anyone with no background in database theory to appreciate the further contents of this work, especially the extended relational operations and semantics of the ciset relational database model.
Authors and Affiliations
Bibliographic Information
Book Title: Uncertainty in Multi-Source Databases
Authors: Premchand S. Nair
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-37099-4
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-03242-7Published: 04 June 2003
Softcover ISBN: 978-3-642-05705-2Published: 09 December 2010
eBook ISBN: 978-3-540-37099-4Published: 06 November 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 188
Topics: Data Structures and Information Theory, Database Management, Artificial Intelligence, Information and Communication, Circuits, Complexity, Operations Research/Decision Theory