This book provides an overview of the main methods and results in
the formal study of the human decision-making process, as defined
in a relatively wide sense. A key aim of the approach contained
here is to try to break down barriers between various disciplines
encompassed by this field, including psychology, economics and
computer science. All these approaches have contributed to progress
in this very important and much-studied topic in the past, but none
have proved sufficient so far to define a complete understanding of
the highly complex processes and outcomes. This book provides the
reader with state-of-the-art coverage of the field, essentially
forming a roadmap to the field of decision analysis.
The first part of the book is devoted to basic concepts and
techniques for representing and solving decision problems, ranging
from operational research to artificial intelligence. Later
chapters provide an extensive overview of the decision-making
process under conditions of risk and uncertainty. Finally, there
are chapters covering various approaches to multi-criteria
decision-making. Each chapter is written by experts in the topic
concerned, and contains an extensive bibliography for further
reading and reference.
Зміст
Preface xxi
Chapter 1. From Decision Theory to Decision-aiding Methodology 1
Alexis TSOUKIAS
Chapter 2. Binary Relations and Preference Modeling 49
Denis BOUYSSOU, Philippe VINCKE
Chapter 3. Formal Representations of Uncertainty 85
Didier DUBOIS, Henri PRADE
Chapter 4. Human Decision: Recognition plus Reasoning 157
Jean-Charles POMEROL
Chapter 5. Multiple Objective Linear Programming 199
Jacques TEGHEM
Chapter 6. Constraint Satisfaction Problems 265
Gerard VERFAILLIE, Thomas SCHIEX
Chapter 7. Logical Representation of Preferences 321
Jerome LANG
Chapter 8. Decision under Risk: The Classical Expected Utility Model 365
Alain CHATEAUNEUF, Michele COHEN, Jean-Marc TALLON
Chapter 9. Decision under Uncertainty: The Classical Models 385
Alain CHATEAUNEUF, Michele COHEN, Jean-Yves JAFFRAY
Chapter 10. Cardinal Extensions of the EU Model Based on the Choquet Integral 401
Alain CHATEAUNEUF, Michele COHEN
Chapter 11. A Survey of Qualitative Decision Rules under Uncertainty 435
Didier DUBOIS, Helene FARGIER, Henri PRADE, Regis SABBADIN
Chapter 12. A Cognitive Approach to Human Decision Making 475
Eric RAUFASTE, Denis J. HILTON
Chapter 13. Bayesian Networks 505
Jean-Yves JAFFRAY
Chapter 14. Planning under Uncertainty with Markov Decision Processes 541
Regis SABBADIN
Chapter 15. Multiattribute Utility Theory 579
Mohammed ABDELLAOUI, Christophe GONZALES
Chapter 16. Conjoint Measurement Models for Preference Relations 617
Denis BOUYSSOU, Marc PIRLOT
Chapter 17. Aggregation Functions for Decision Making 673
Jean-Luc MARICHAL
Chapter 18. Subjective Evaluation 723
Michel GRABISCH
Chapter 19. Social Choice Theory and Multicriteria Decision Aiding 779
Denis BOUYSSOU, Thierry MARCHANT, Patrice PERNY
Chapter 20.Metric and Latticial Medians 811
Olivier HUDRY, Bruno LECLERC, Bernard MONJARDET, Jean-Pierre BARTHELEMY
List of Authors 857
Index 861
Про автора
Denis Bouyssou is a Senior Researcher at CNRS, Paris
Dauphine University, France.
Marc Pirlot is Professor of Mathematics and Operational
Research at Faculté Polytechnique de Mons in Belgium.
Didier Dubois and Henri Prade are Senior
Researchers at CNRS, University of Toulouse, France.
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