Rough-Neural Computing

Techniques for Computing with Words

  • Sankar K. Pal
  • Lech Polkowski
  • Andrzej Skowron

Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages I-XXV
  2. Rough Sets, Granular Computing, and Rough-Neural Computing: Foundations

    1. Front Matter
      Pages 1-4
    2. Sankar K. Pal, James F. Peters, Lech Polkowski, Andrzej Skowron
      Pages 15-41
    3. Andrzej Skowron, Jarosław Stepaniuk
      Pages 43-84
    4. Witold Pedrycz
      Pages 109-137
    5. Jakub Wróblewski
      Pages 139-156
    6. Mohua Banerjee, Mihir K. Chakraborty
      Pages 157-184
  3. Hybrid Approaches

    1. Front Matter
      Pages 185-188
    2. Patrick Doherty, Witold Lukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 189-218
    3. Patrick Doherty, Jarosław Kachniarz, Andrzej Szalas
      Pages 219-250
    4. Masahiro Inuiguchi, Tetsuzo Tanino
      Pages 277-296
    5. Jan Małuszyński, Aida Vitória
      Pages 297-332
    6. Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
      Pages 351-367
  4. Exemplary Application Areas

  5. Case Studies

  6. Back Matter
    Pages 723-736

About this book


Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.


Fuzzy Rough sets algorithm calculus cognition computer vision computing with words evolutionary computing fuzzy sets genetic algorithms image processing pattern recognition perception petri net rough-neuro computing

Editors and affiliations

  • Sankar K. Pal
    • 1
  • Lech Polkowski
    • 2
  • Andrzej Skowron
    • 3
  1. 1.Indian Statistical InstituteMachine Intelligence UnitCalcuttaIndia
  2. 2.Department of Mathematics and Computer ScienceUniversity of Warmia and MazuryOlsztynPoland
  3. 3.Institute of MathematicsWarsaw UniversityWarsawPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-62328-8
  • Online ISBN 978-3-642-18859-6
  • Series Print ISSN 1611-2482
  • Buy this book on publisher's site
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