Uncertainty in Knowledge Bases

1. Front Matter

   PDF

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

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.

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

Policies and ethics