Preferences and Decisions under Incomplete Knowledge

  • János Fodor
  • Bernard De Baets
  • Patrice Perny

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 51)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Philippe Vincke
    Pages 1-10
  3. Philippe Fortemps, Jacques Teghem
    Pages 11-32
  4. Didier Dubois, Endre Pap, Henri Prade
    Pages 51-73
  5. Javier Montero, Ana del Amo, Elisenda Molina
    Pages 75-88
  6. Hannu Nurmi, Janusz Kacprzyk
    Pages 107-130
  7. Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
    Pages 131-151
  8. Michel Grabisch, Christophe Labreuche
    Pages 179-194
  9. Back Matter
    Pages 209-209

About this book


Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information. In this volume leading scientists in the field address various theoretical and practical aspects related to the handling of this incompleteness. The problems discussed are taken from multi-objective linear programming, rationality considerations in preference modelling, non-probabilistic utility theory, data fusion, group decision making, and multicriteria decision aid.


Attribut Extension calculus decision problem fuzziness fuzzy fuzzy logic fuzzy sets knowledge linear optimization modeling operations research programming service-oriented computing sets

Editors and affiliations

  • János Fodor
    • 1
  • Bernard De Baets
    • 2
  • Patrice Perny
    • 3
  1. 1.Department of Biomathematics and Informatics, Faculty of Veterinary ScienceSzent István UniversityBudapestHungary
  2. 2.Department of Applied Mathematics, Biometrics and Process ControlUniversity of GentGentBelgium
  3. 3.Case 169LIP 6 (Paris 6 University)Paris Cedex 05France

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2000
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2474-2
  • Online ISBN 978-3-7908-1848-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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