Uncertainty and Intelligent Systems

1. Front Matter

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2. Application of linear utility theory to belief functions

   • Jean-Yves Jaffray

   Pages 1-8

3. A new approach to introducing semantics and subjectivity in approximate reasoning

   • Guy Jumarie

   Pages 9-16

4. Belief functions versus probability functions

   • Philippe Smets

   Pages 17-24

5. Inference via belief qualified if — Then rules based on compatibility relations and possibility theory

   • Janusz Kacprzyk, Mario Fedrizzi

   Pages 25-32

6. Fixed point theorems for fuzzy mappings

   • Liu Zuoshu, Zheng Quan

   Pages 33-40

7. Convergence properties of classes of decomposable measures

   • M. Squillante, A. G. S. Ventre, S. Weber

   Pages 41-46

8. Some geometrical properties of trapezoidal functions for their association with linguistic labels leading to a reduced 2-D representation

   • Josep Aguilar Martin

   Pages 47-54

9. Decidability and recursive enumerability for fuzzy subsets

   • Loredana Biacino, Giangiacomo Gerla

   Pages 55-62

10. Stability of linguistic modifiers compatible with a fuzzy logic

    • Bernadette Bouchon

    Pages 63-70

11. Some maximum likelihood estimators for the fuzzy linear model

    • Phil Diamond

    Pages 71-78

12. On orderings of fuzzy numbers

    • Sergei Ovchinnikov

    Pages 79-86

13. An alternative semantics for linguistic variables

    • Daniel G. Schwartz

    Pages 87-92

14. Suboptimum decoding using Kullback principle

    • Gérard Battail, Rémi Sfez

    Pages 93-101

15. The choice of sample size in estimating entropy according to a stratified sampling

    • María Angeles Gil, Covadonga Caso

    Pages 102-111

16. Information measures from rate-distortion theories

    • Andrea Sgarro

    Pages 112-118

17. Piecewise linear fuzzy quantities : A way to implement fuzzy information into expert systems and fuzzy databases

    • R. Baekeland, E. E. Kerre

    Pages 119-126

18. Sets and uncertainty in relational databases

    • Zbigniew Michalewicz, Lindsay J. Groves

    Pages 127-137

19. Answering queries addressed to the rule base of a deductive database

    • Elsa Pascual, Laurence Cholvy

    Pages 138-145

20. A model for the management of imprecise queries in relational databases

    • Marcus Spies

    Pages 146-153

This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning.

• Bayesian inference
• Fuzzy
• artificial intelligence
• expert system
• fuzzy logic
• human-computer interaction (HCI)
• intelligence
• intelligent systems
• knowledge base
• knowledge representation
• knowledge-based systems
• learning
• machine learning
• semantics
• uncertainty

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