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.Content:
Chapter 1 From Decision Theory to Decision?aiding Methodology (pages 1โ47): Alexis Tsoukias
Chapter 2 Binary Relations and Preference Modeling (pages 49โ84): Denis Bouyssou and Philippe Vincke
Chapter 3 Formal Representations of Uncertainty (pages 85โ156): Didier Dubois and Henri Prade
Chapter 4 Human Decision: Recognition plus Reasoning (pages 157โ197): Jean?Charles Pomerol
Chapter 5 Multiple Objective Linear Programming (pages 199โ264): Jacques Teghem
Chapter 6 Constraint Satisfaction Problems (pages 265โ320): Gerard Verfaillie and Thomas Schiex
Chapter 7 Logical Representation of Preferences (pages 321โ363): Jerome Lang
Chapter 8 Decision under Risk: The Classical Expected Utility Model (pages 365โ384): Alain Chateauneuf, Michele Cohen and Jean?Marc Tallon
Chapter 9 Decision under Uncertainty: The Classical Models (pages 385โ400): Alain Chateauneuf, Michele Cohen and Jean?Yves Jaffray
Chapter 10 Cardinal Extensions of the EU Model Based on the Choquet Integral (pages 401โ433): Alain Chateauneuf and Michele Cohen
Chapter 11 A Survey of Qualitative Decision Rules under Uncertainty (pages 435โ473): Didier Dubois, Helene Fargier, Henri Prade and Regis Sabbadin
Chapter 12 A Cognitive Approach to Human Decision Making (pages 475โ503): Eric Raufaste and Denis J. Hilton
Chapter 13 Bayesian Networks (pages 505โ539): Jean?Yves Jaffray
Chapter 14 Planning under Uncertainty with Markov Decision Processes (pages 541โ577): Regis Sabbadin
Chapter 15 Multiattribute Utility Theory (pages 579โ616): Mohammed Abdellaoui and Christophe Gonzales
Chapter 16 Conjoint Measurement Models for Preference Relations (pages 617โ672): Denis Bouyssou and Marc Pirlot
Chapter 17 Aggregation Functions for Decision Making (pages 673โ721): Jean?Luc Marichal
Chapter 18 Subjective Evaluation (pages 723โ778): Michel Grabisch
Chapter 19 Social Choice Theory and Multicriteria Decision Aiding (pages 779โ810): Denis Bouyssou, Thierry Marchant and Patrice Perny
Chapter 20 Metric and Latticial Medians (pages 811โ856): Olivier Hudry, Bruno Leclerc, Bernard Monjardet and Jean?Pierre Barthelemy
