Skip to main content
SpringerLink
Log in

Uncertainty and Intelligent Systems

2nd International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems IPMU '88. Urbino, Italy, July 4-7, 1988. Proceedings

  • Conference proceedings
  • © 1988

Overview

Editors:
  1. B. Bouchon
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. L. Saitta
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. R. R. Yager
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 313)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (48 papers)

  1. Front Matter

    Download chapter PDF

  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
Back to top

Keywords

About this book

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation