Theory and Decision Library D:

Intelligent Decision Support

Handbook of Applications and Advances of the Rough Sets Theory

Editors: Shi-Yu Huang (Ed.)

Buy this book

eBook $349.00
price for USA (gross)
  • ISBN 978-94-015-7975-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $449.00
price for USA
  • ISBN 978-0-7923-1923-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $449.00
price for USA
  • ISBN 978-90-481-4194-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes.
Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge.
The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit.
It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage.
The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Table of contents (27 chapters)

  • LERS-A System for Learning from Examples Based on Rough Sets

    Grzymala-Busse, Jerzy W.

    Pages 3-18

  • Rough Sets in Computer Implementation of Rule-Based Control of Industrial Processes

    Mrózek, Adam

    Pages 19-31

  • Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory

    Nowicki, Ryszard (et al.)

    Pages 33-48

  • Knowledge-Based Process Control Using Rough Sets

    Szladow, Adam J. (et al.)

    Pages 49-60

  • Acquisition of Control Algorithms from Operation Data

    Ziarko, Wojciech P.

    Pages 61-75

Buy this book

eBook $349.00
price for USA (gross)
  • ISBN 978-94-015-7975-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $449.00
price for USA
  • ISBN 978-0-7923-1923-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $449.00
price for USA
  • ISBN 978-90-481-4194-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Intelligent Decision Support
Book Subtitle
Handbook of Applications and Advances of the Rough Sets Theory
Editors
  • Shi-Yu Huang
Series Title
Theory and Decision Library D:
Series Volume
11
Copyright
1992
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-94-015-7975-9
DOI
10.1007/978-94-015-7975-9
Hardcover ISBN
978-0-7923-1923-8
Softcover ISBN
978-90-481-4194-4
Edition Number
1
Number of Pages
XVII, 473
Topics