Logo - springer
Slogan - springer

Computer Science - Database Management & Information Retrieval | Knowledge Processing with Interval and Soft Computing

Knowledge Processing with Interval and Soft Computing

Hu, C., Kearfott, R.B., de Korvin, A., Kreinovich, V. (Eds.)

2008

Available Formats:
eBook
Information

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.

 
$129.00

(net) price for USA

ISBN 978-1-84800-326-2

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

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

Standard shipping is free of charge for individual customers.

 
$169.00

(net) price for USA

ISBN 978-1-84800-325-5

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

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

Standard shipping is free of charge for individual customers.

 
$169.00

(net) price for USA

ISBN 978-1-84996-784-6

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Provides necessary theoretical foundations for applying interval and soft computing in artificial intelligence and knowledge processing (AIKP)
  • Includes applicable algorithms that can be used to solve AIKP problems
  • Presents successful applications

Massive datasets, made available today by modern technologies, present a significant challenge to scientists who need to effectively and efficiently extract relevant knowledge and information.

Due to their ability to model uncertainty, interval and soft computing techniques have been found to be effective in this extraction. This book provides coverage of the basic theoretical foundations for applying these techniques to artificial intelligence and knowledge processing.

The first three chapters provide the background needed for those who are unfamiliar with interval and soft computing techniques. The following chapters describe innovative algorithms and their applications to knowledge processing.

In particular, these chapters cover computing techniques for interval linear systems of equations, interval matrix singular-value decomposition, interval function approximation, and decision making with statistical and graph-based data processing. To enable these applications, the book presents a standards-based object-oriented interval computing environment in C++.

By providing the necessary background and summarizing recent results and successful applications, this self-contained book will serve as a useful resource for researchers and practitioners wanting to learn interval and soft computing techniques and apply them to artificial intelligence and knowledge processing.

Content Level » Research

Keywords » Data mining - Decision making systems - Flow networks - Fuzzy - Game theory - Graph - Interval computing - Interval valued datasets - Soft computing - algorithms - artificial intelligence - fuzzy logic - intelligence - knowledge discovery - logic

Related subjects » Applications - Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science

Table of contents / Preface / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Data Mining and Knowledge Discovery.