Fuzzy Sets, Logics and Reasoning about Knowledge

  • Didier Dubois
  • Henri Prade
  • Erich Peter Klement

Part of the Applied Logic Series book series (APLS, volume 15)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Introduction: Bridging the Gap between Multiple-Valued Logics, Fuzzy Logic, Uncertain Reasoning and Reasoning about Knowledge

  3. Advances in Mutiple-valued Logics

  4. Algebraic Aspects of Multiple-valued Logics

    1. Panagis Karazeris
      Pages 151-160
    2. Antonio Di Nola, George Georgescu, Ada Lettieri
      Pages 161-174
  5. Advances in Approximate Reasoning

    1. Vilém Novák
      Pages 213-235
    2. Lluís Godo, Petr Hájek
      Pages 237-241
    3. Frank Klawonn
      Pages 243-253
    4. Dionis Boixader, Joan Jacas
      Pages 255-268
    5. Francesco Esteva, Pere Garcia, Lluís Godo
      Pages 269-287
    6. Helmut Thiele
      Pages 289-299
  6. Reasoning about Information and Knowledge

    1. Stéphane Demri, Ewa Orłowska
      Pages 301-314
    2. D. Dubois, L. Fariñas Del Cerro, A. Herzig, H. Prade
      Pages 325-350
    3. Luca Boldrin, Claudio Sossai
      Pages 351-380
    4. Salem Benferhat, Didier Dubois, Henri Prade
      Pages 395-417
  7. Back Matter
    Pages 419-425

About this book


Fuzzy Sets, Logics and Reasoning about Knowledge reports recent results concerning the genuinely logical aspects of fuzzy sets in relation to algebraic considerations, knowledge representation and commonsense reasoning. It takes a state-of-the-art look at multiple-valued and fuzzy set-based logics, in an artificial intelligence perspective. The papers, all of which are written by leading contributors in their respective fields, are grouped into four sections.
The first section presents a panorama of many-valued logics in connection with fuzzy sets. The second explores algebraic foundations, with an emphasis on MV algebras. The third is devoted to approximate reasoning methods and similarity-based reasoning. The fourth explores connections between fuzzy knowledge representation, especially possibilistic logic and prioritized knowledge bases.
Readership: Scholars and graduate students in logic, algebra, knowledge representation, and formal aspects of artificial intelligence.


artificial intelligence fuzzy fuzzy logic intelligence knowledge base knowledge representation logic semantics

Editors and affiliations

  • Didier Dubois
    • 1
  • Henri Prade
    • 1
  • Erich Peter Klement
    • 2
  1. 1.I.R.I.T., C.N.R.S.University of Toulouse-IIIFrance
  2. 2.Johannes Kepler UniversitätLinzAustria

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1999
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5324-4
  • Online ISBN 978-94-017-1652-9
  • Series Print ISSN 1386-2790
  • Buy this book on publisher's site