A Methodology for Uncertainty in Knowledge-Based Systems

  • Authors
  • Kurt Weichselberger
  • Sigrid Pöhlmann

Part of the Lecture Notes in Computer Science book series (LNCS, volume 419)

About this book


In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.


Expertensysteme Künstliche Intelligenz Probability theory Statistik Wahrscheinlichkeitsrechnung expert system knowledge-based system knowledge-based systems uncertainty wissensbasiere Systeme

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1990
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-52336-9
  • Online ISBN 978-3-540-46964-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
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