Fuzziness in Information Systems

How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization

Authors: Hudec, Miroslav

Free Preview
  • Explains the application of fuzzy approaches for classical relational databases and information systems
  • Details important application aspects like fuzzy queries, fuzzy inference, and linguistic summaries
  • Includes a brief introduction to fuzzy sets and fuzzy logic
see more benefits

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-42518-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-42516-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-319-82598-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book is an essential contribution to the description of fuzziness in information systems. Usually users want to retrieve data or summarized information from a database and are interested in classifying it or building rule-based systems on it. But they are often not aware of the nature of this data and/or are unable to determine clear search criteria. The book examines theoretical and practical approaches to fuzziness in information systems based on statistical data related to territorial units.
Chapter 1 discusses the theory of fuzzy sets and fuzzy logic to enable readers to understand the information presented in the book. Chapter 2 is devoted to flexible queries and includes issues like constructing fuzzy sets for query conditions, and aggregation operators for commutative and non-commutative conditions, while Chapter 3 focuses on linguistic summaries. Chapter 4 presents fuzzy logic control architecture adjusted specifically for the aims of business and governmental agencies, and shows fuzzy rules and procedures for solving inference tasks. Chapter 5 covers the fuzzification of classical relational databases with an emphasis on storing fuzzy data in classical relational databases in such a way that existing data and normal forms are not affected. This book also examines practical aspects of user-friendly interfaces for storing, updating, querying and summarizing. Lastly, Chapter 6 briefly discusses possible integration of fuzzy queries, summarization and inference related to crisp and fuzzy databases. 
The main target audience of the book is researchers and students working in the fields of data analysis, database design and business intelligence. As it does not go too deeply into the foundation and mathematical theory of fuzzy logic and relational algebra, it is also of interest to advanced professionals developing tailored applications based on fuzzy sets.

About the authors

Miroslav Hudec is researcher and teacher at the University of Economics in Bratislava, Slovakia. His research activities have been focused on information systems in official statistics and theory and applications of fuzzy logic, data mining and operations research. He is the author of approximately 45 scientific papers, a member of the program committee of several related international conferences and (currently) an editorial board member for Applied Soft Computing. In addition, he was the representative of Slovakia in the UNECE/Eurostat/OECD Conference on the Management of Statistical Information Systems from 2005 to 2009 and again in 2013.

Table of contents (6 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-42518-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-42516-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-319-82598-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Fuzziness in Information Systems
Book Subtitle
How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
Authors
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-42518-4
DOI
10.1007/978-3-319-42518-4
Hardcover ISBN
978-3-319-42516-0
Softcover ISBN
978-3-319-82598-4
Edition Number
1
Number of Pages
XXII, 198
Number of Illustrations
91 b/w illustrations
Topics