Table of contents

  1. Front Matter
  2. Prakash P. Shenoy
    Pages 1-13
  3. Robert Kennes, Philippe Smets
    Pages 14-23
  4. R. Kruse, E. Schwecke
    Pages 24-30
  5. Jürg Kohlas, Paul-André Monney
    Pages 50-57
  6. Serafín Moral, Luis M. De Campos
    Pages 58-67
  7. Gerhard Paass
    Pages 75-85
  8. Giulianella Coletti, Angelo Gilio, Romano Scozzafava
    Pages 106-114
  9. T. P. Martin, J. F. Baldwin
    Pages 125-135
  10. O. Bobrowicz, Choulet C., Haurat A., Sandoz F., Tebaa M.
    Pages 136-142
  11. Jian-Ming Gao, Akira Nakamura
    Pages 143-153
  12. Sergei Ovchinnikov
    Pages 154-164
  13. Aguilar-Martin J., Martín M., Piera N.
    Pages 165-172
  14. Antonio Di Nola, Waldemar Kolodziejczyk, Salvatore Sessa
    Pages 173-182

About these proceedings

Introduction

The management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems, beginning withits appearance in the such systems as Mycin and Prospector. The papers in this volume reflect the current range of interests or researchers in thefield. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standardlogics such as default reasoning, and possibility theory. The initial part of the volume is devoted to papers dealing with the foundations of these approaches, where recent attempts have been made to develop systems combining multiple approaches. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks. The papers are extended versions of presentations at the third international conference on information processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313.

Keywords

Mycin databases expert system fuzzy image processing intelligent systems knowledge knowledge base knowledge-based system knowledge-based systems uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0028090
  • Copyright Information Springer-Verlag 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-54346-6
  • Online ISBN 978-3-540-47580-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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