An intuitive representation of imperfect information

  • E. Charpentier
  • J. P. Daurès
  • P. Dujols
  • F. Grémy
Reasoning Techniques Under Uncertainty
Part of the Lecture Notes in Computer Science book series (LNCS, volume 313)


A representation of uncertain information has been presented along with a set of algorithms for logical computing and inference. It has been shown that this representation and these algorithms have many intuitively desirable properties. This representation has explicitly been built from elementary propositions about medical reasoning; these propositions have been chosen for their usefulness and “common sense” character, since our goal is to remain as close as possible to clinical practice.

This representation is intended to be used into medical experts systems. Many problems remain to be solved before an effective implementation can be tested. Some theoretical problems are also open.

This representation seems however to be in good relation with the “real” medical practice and knowledge. Further work about this representation is hence justifiable: we plan to use it in an application to masculine sterility diagnosis and treatment.


Fuzzy Number Production Rule Imperfect Information Logical Expression Logical Connective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • E. Charpentier
    • 1
  • J. P. Daurès
    • 1
  • P. Dujols
    • 1
  • F. Grémy
    • 1
  1. 1.Département de l'Information MédicaleHôpital Lapeyronie — Université Montpellier IFrance

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