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Preferences and Decisions under Incomplete Knowledge

  • Book
  • © 2000

Overview

Editors:
  1. János Fodor

    1. Department of Biomathematics and Informatics, Faculty of Veterinary Science, Szent István University, Budapest, Hungary

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    You can also search for this editor in PubMed   Google Scholar

  2. Bernard Baets

    1. Department of Applied Mathematics, Biometrics and Process Control, University of Gent, Gent, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Patrice Perny

    1. Case 169, LIP 6 (Paris 6 University), Paris Cedex 05, France

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-VIII
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  2. {P, Q, I, J} — Preference Structures

    • Philippe Vincke
    Pages 1-10

  3. Multi-Objective Fuzzy Linear Programming: The MOFAC Method

    • Philippe Fortemps, Jacques Teghem
    Pages 11-32

  4. An Extension of the Axioms of Utility Theory Based on Fuzzy Rationality Measures

    • Vincenzo Cutello, Javier Montero
    Pages 33-50

  5. Hybrid Probabilistic-Possibilistic Mixtures and Utility Functions

    • Didier Dubois, Endre Pap, Henri Prade
    Pages 51-73

  6. Additive Recursive Rules

    • Javier Montero, Ana del Amo, Elisenda Molina
    Pages 75-88

  7. Maximizing the Information Obtained from Data Fusion

    • Ronald R. Yager
    Pages 89-106

  8. Social Choice under Fuzziness: A Perspective

    • Hannu Nurmi, Janusz Kacprzyk
    Pages 107-130

  9. Fuzzy Extension of the Rough Set Approach to Multicriteria and Multiattribute Sorting

    • Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
    Pages 131-151

  10. Behavioral Analysis of Aggregation in Multicriteria Decision Aid

    • Jean-Luc Marichal
    Pages 153-178

  11. To be Symmetric or Asymmetric? A Dilemma in Decision Making

    • Michel Grabisch, Christophe Labreuche
    Pages 179-194

  12. Monotone Functions on Finite Lattices: An Ordinal Approach to Capacities, Belief and Necessity Functions

    • Jean-Pierre Barthélemy
    Pages 195-208

  13. Back Matter

    Pages 209-209
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Keywords

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. The book is oriented towards researchers, graduate and postgraduate students in decision analysis, fuzzy sets and fuzzy logic, and operations research/management science.

Editors and Affiliations

  • Department of Biomathematics and Informatics, Faculty of Veterinary Science, Szent István University, Budapest, Hungary

    János Fodor

  • Department of Applied Mathematics, Biometrics and Process Control, University of Gent, Gent, Belgium

    Bernard Baets

  • Case 169, LIP 6 (Paris 6 University), Paris Cedex 05, France

    Patrice Perny

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