Fuzzy Systems in Medicine

  • Piotr S. Szczepaniak
  • Paulo J. G. Lisboa
  • Janusz Kacprzyk

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 41)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Tutorials

    1. Front Matter
      Pages 1-1
    2. Ewa Straszecka
      Pages 32-47
    3. Robert John
      Pages 78-89
    4. Michał Baczyński, Józef Drewniak
      Pages 90-111
    5. Witold Pedrycz
      Pages 174-203
  3. Case Studies

    1. Front Matter
      Pages 225-225
    2. Signal Processing

      1. Jörg Petersen, Gudrun Stockmanns, Werner Nahm
        Pages 261-277
    3. Image Processing and Interpretation

      1. Georg Berks, Diedrich Graf v. Keyserlingk
        Pages 281-315
      2. F. Masulli, A. Schenone, A. M. Massone
        Pages 335-350
      3. Faiza Belhoul, Abdel-Ouahab Boudraa, Marc Janier, Pierre Croisille
        Pages 351-360
      4. P. R. Innocent, R. I. John, M. Barnes
        Pages 361-393
      5. F. Waidelich, H. Eichfeld, R. Graumann
        Pages 394-409
      6. Marie-Christine Jaulent, Vincent Bombardier, Ilhem Cherrak, Oliver Perez-Oramas
        Pages 410-428
    4. Control, Diagnosis and Therapy

      1. Andràs Bardossy, Aleksandra Blinowska
        Pages 451-466
      2. Derek A. Linkens, Maysam F. Abbod, Jay K. Backory, Jiann S. Shieh
        Pages 467-483
      3. David G. Mason, Neal D. Edwards
        Pages 484-502
      4. Danuta Rutkowska, Artur Starczewski
        Pages 503-518
      5. J. A. Swope, N. K. Kasabov, M. J. A. Williams
        Pages 519-542
      6. Elisabeth Rakus-Andersson, Tadeusz Gerstenkorn
        Pages 561-572
      7. K. Cerbioni, C. Colosimo, A. Starita, P. Dario
        Pages 573-590
    5. Knowledge Based Systems

      1. Włodzisław Duch, Rafał Adamczak, Krzysztof Grąbczewski, Grzegorz Żal, Yoichi Hayashi
        Pages 593-616
      2. R. Molitor, C. B. Tresp
        Pages 617-635
      3. Thomas E. Rothenfluh, Karl Bögl, Klaus-Peter Adlassnig
        Pages 636-651
      4. Jonathan M. Garibaldi, Emmanuel C. Ifeachor
        Pages 652-668
      5. J. Novotný, F. Babinec
        Pages 669-692
  4. Back Matter
    Pages 693-700

About this book


Provides an introduction to the fundamental concepts of fuzziness together with a compilation of recent advances in the application to medicine. The tutorials in the first part of the book range from basic concepts through theoretical frameworks to rule simplification through data clustering methodologies and the design of multivariate rule bases through self-learning by mapping fuzzy systems onto neural network structures. The case studies which follow are representative of the wide range of applications currently pursued in relation to medicine. The majority of applications presented in this book are about bridging the gap between low-level sensor measurements and intermediate or high-level data representations. The book offers a comprehensive perspective from leading authorities world-wide and provides a tantalising glimpse into the role of sophisticated knowledge engineering methods in shaping the landscape of medical technology in the future.


artificial intelligence control decision model diagnosis expert system fuzziness fuzzy logic fuzzy set fuzzy sets fuzzy system image processing knowledge base learning modeling neural networks

Editors and affiliations

  • Piotr S. Szczepaniak
    • 1
  • Paulo J. G. Lisboa
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Institute of Computer ScienceTechnical University of ŁódźŁódźPoland
  2. 2.School of Computing and Mathematical ScienceLiverpool John Moores UniversityLiverpoolUK
  3. 3.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-00395-4
  • Online ISBN 978-3-7908-1859-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site