© 1997

Consensus Under Fuzziness

  • Janusz Kacprzyk
  • Hannu Nurmi
  • Mario Fedrizzi

Part of the International Series in Intelligent Technologies book series (ISIT, volume 10)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Introductions

    1. Front Matter
      Pages 1-1
    2. Keith Lehrer
      Pages 3-15
    3. Prasanta K. Pattanaik
      Pages 17-27
    4. George J. Klir, David Harmanec
      Pages 29-51
  3. Tools and Techniques for Measuring and Monitoring Consensus Rearching

    1. Front Matter
      Pages 53-53
    2. Janusz Kacprzyk, Mario Fedrizzi, Hannu Nurmi
      Pages 55-81
    3. F. Herrera, E. Herrera-Viedma, J. L. Verdegay
      Pages 121-146
  4. New Paradigms and Architectures for Modeling Consensus Rearching

    1. Front Matter
      Pages 163-163
  5. Auxiliary Formal Tools and Techniques for Modeling Consensus Reaching

    1. Front Matter
      Pages 189-189
    2. János Fodor, Didier Dubois, Henri Prade, Marc Roubens
      Pages 191-210
    3. Christer Carlsson, Robert Fullér
      Pages 231-246
  6. Applications and Case Studies

    1. Front Matter
      Pages 265-265

About this book


We live, unfortunately, in turbulent and difficult times plagued by various political, economic, and social problems, as well as by natural disasters worldwide. Systems become more and more complicated, and this concerns all levels, exemplified first by global political alliances, groups of countries, regions, etc., and secondly, by multinational (global) corporations and companies of all sizes. These same concerns affect all social groups. This all makes decision processes very complicated. In virtually all decision processes in these complicated systems, there are various actors (decision makers) who represent individual subjects (persons, countries, companies, etc.) and their respective interest groups. To reach a meaningful (good) decision, opinions of all such actors must be taken into account or a given decision may be rejected and not implemented. Ideally, a decision would be made after a consensus between the parties involved had been attained. So, consensus is a very desirable situation. In most real-world cases there is considerable uncertainty concerning all aspects of the decision making process. Moreover, opinions, goals, constraints, etc. are usually imprecisely known. This makes the decision making process difficult as one cannot employ conventional "hard" tools.


Problem solving fuzziness linear optimization modeling uncertainty

Editors and affiliations

  • Janusz Kacprzyk
    • 1
  • Hannu Nurmi
    • 2
  • Mario Fedrizzi
    • 3
  1. 1.Polish Academy of SciencesWarsawPoland
  2. 2.University of TurkuTurkuFinland
  3. 3.University of TrentoTrentoItaly

Bibliographic information

  • Book Title Consensus Under Fuzziness
  • Editors J. Kacprzyk
    H. Nurmi
    Mario Fedrizzi
  • Series Title International Series in Intelligent Technologies
  • DOI
  • Copyright Information Kluwer Academic Publishers 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-7923-9839-4
  • Softcover ISBN 978-1-4613-7908-9
  • eBook ISBN 978-1-4615-6333-4
  • Series ISSN 1382-3434
  • Edition Number 1
  • Number of Pages VIII, 303
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Operations Research/Decision Theory
    Mathematical Logic and Foundations
  • Buy this book on publisher's site
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