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Uncertainty in Knowledge-Based Systems

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30 - July 4, 1986. Selected and Extended Contributions

  • Conference proceedings
  • © 1987

Overview

Editors:
  1. B. Bouchon
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  2. R. R. Yager
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 286)

Included in the following conference series:

Conference proceedings info: IPMU 1986.

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Table of contents (38 papers)

  1. Front Matter

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  2. On the management of information imperfection in knowledge based systems

    • Andrew P. Sage
    Pages 1-29

  3. Representing knowledge and evidence for decision

    • Henry E. Kyburg Jr.
    Pages 30-40

  4. Possibilistic qualification and default rules

    • Ronald R. Yager
    Pages 41-57

  5. Propagation of uncertainties and inaccuracies in knowledge-based system

    • Bernadette Bouchon, Sylvie Desprès
    Pages 58-65

  6. Qualitative Markov networks

    • Khaled Mellouli, Glenn Shafer, Prakash P. Shenoy
    Pages 67-74

  7. The principle of minimum specificity as a basis for evidential reasoning

    • Didier Dubois, Henri Prade
    Pages 75-84

  8. Approximate inference and interval probabilities

    • Enrique H. Ruspini
    Pages 85-94

  9. Derivation of some results on monotone capacities by Mobius inversion

    • Alain Chateauneuf, Jean-Yves Jaffray
    Pages 95-102

  10. Using probability-density functions in the framework of evidential reasoning

    • Pascal V. Fua
    Pages 103-110

  11. O-theory: A probabilistic alternative to fuzzy set theory

    • E. M. Oblow
    Pages 111-119

  12. Efficient deduction in fuzzy logic

    • Roger Martin-Clouaire
    Pages 121-136

  13. Fuzziness and expert system generation

    • Mark Frydenberg, Stephen I. Gallant
    Pages 137-143

  14. Fuzzy preferences in decision-making

    • F. J. Montero, J. Tejada
    Pages 144-150

  15. An axiomatics for fuzzy information

    • Michel De Glas
    Pages 151-158

  16. Knowledge modelling in fuzzy expert systems

    • J. Darzentas
    Pages 159-172

  17. Some recent advances on the possibility measure theory

    • Wang Zhenyuan
    Pages 173-175

  18. Probabilistic inferential engines in expert systems: How should the strength of rules be expressed?

    • Gerardo Steve
    Pages 177-188

  19. A framework for assigning probabilities in knowledge-based systems

    • Sheldon Shen
    Pages 189-199

  20. Probabilistic reasoning using graphs

    • Judea Pearl
    Pages 200-202
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  1. Uncertainty in Knowledge-Based Systems

Keywords

Bibliographic Information

  • Book Title: Uncertainty in Knowledge-Based Systems

  • Book Subtitle: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30 - July 4, 1986. Selected and Extended Contributions

  • Editors: B. Bouchon, R. R. Yager

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-18579-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1987

  • Softcover ISBN: 978-3-540-18579-6Published: 04 November 1987

  • eBook ISBN: 978-3-540-48020-4Published: 29 June 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 412

  • Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), Probability Theory and Stochastic Processes

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