Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Flexible Approaches in Data, Information and Knowledge Management

Flexible Approaches in Data, Information and Knowledge Management

Pivert, Olivier, Zadrożny, Sławomir (Eds.)

2014, XII, 320 p. 56 illus.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-319-00954-4

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-319-00953-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Presents Flexible Approaches in Data, Information and Knowledge Management
  • Focuses on publications of fuzzy set theory to the database domain
  • Written by experts in the field

This volume showcases contributions from internationally-known researchers in the field of information management. Most of the approaches presented here make use of fuzzy logic, introduced by L.A. Zadeh almost 50 years ago, which constitute a powerful tool to model and handle gradual concepts. What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.

Researchers working in data and knowledge management will greatly benefit from this collection of up-to-date studies. This may be also an invaluable source of information for  postgraduate students interested in advanced information management techniques.

Content Level » Research

Keywords » Computational Intelligence - Data Management - Information Management - Knowledge Management

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents / Preface / Sample pages 

Popular Content within this publication 



Read this Book on Springerlink

For authors and editors

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.