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Uncertainty in Knowledge Bases

3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. Proceedings

  • Conference proceedings
  • © 1991

Overview

Editors:
  1. Bernadette Bouchon-Meunier
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  2. Ronald R. Yager
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  3. Lotfi A. Zadeh
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 521)

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Table of contents (61 papers)

  1. Front Matter

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  2. On Spohn's theory of epistemic beliefs

    • Prakash P. Shenoy
    Pages 1-13

  3. Fast algorithms for Dempster-Shafer theory

    • Robert Kennes, Philippe Smets
    Pages 14-23

  4. On the combination of information sources

    • R. Kruse, E. Schwecke
    Pages 24-30

  5. Application aspects of qualitative conditional independence

    • Marcus Spies
    Pages 31-40

  6. A study of probabilities and belief functions under conflicting evidence: Comparisons and new methods

    • Mary Deutsch-McLeish
    Pages 41-49

  7. Propagating belief functions through constraints systems

    • Jürg Kohlas, Paul-André Monney
    Pages 50-57

  8. Updating uncertain information

    • Serafín Moral, Luis M. De Campos
    Pages 58-67

  9. Assessing multiple beliefs according to one body of evidence — Why it may be necessary, and how we might do it correctly

    • Yen-Teh Hsia
    Pages 68-74

  10. Probabilistic default reasoning

    • Gerhard Paass
    Pages 75-85

  11. On knowledge representation in belief networks

    • Bruce Abramson
    Pages 86-96

  12. Stoss — A stochastic simulation system for Bayesian belief networks

    • Zhiyuan Luo, Alex Gammerman
    Pages 97-105

  13. Conditional events with vague information in expert systems

    • Giulianella Coletti, Angelo Gilio, Romano Scozzafava
    Pages 106-114

  14. On representation of source reliability in weight of evidence

    • Daniel E. O'Leary
    Pages 115-123

  15. An abstract mechanism for handling uncertainty

    • T. P. Martin, J. F. Baldwin
    Pages 125-135

  16. A method to build membership functions

    • O. Bobrowicz, Choulet C., Haurat A., Sandoz F., Tebaa M.
    Pages 136-142

  17. Algebraic analysis of fuzzy indiscernibility

    • Jian-Ming Gao, Akira Nakamura
    Pages 143-153

  18. On modelling fuzzy preference relations

    • Sergei Ovchinnikov
    Pages 154-164

  19. Conceptual conectivity analysis by means of fuzzy partitions

    • Aguilar-Martin J., Martín M., Piera N.
    Pages 165-172

  20. Transitive solutions of relational equations on finite sets and linear lattices

    • Antonio Di Nola, Waldemar Kolodziejczyk, Salvatore Sessa
    Pages 173-182
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Keywords

About this book

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.

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