Decision-making Process: Concepts and Methods

Description

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 1–47): Alexis TsoukiasChapter 2 Binary Relations and Preference Modeling (pages 49–84): Denis Bouyssou and Philippe VinckeChapter 3 Formal Representations of Uncertainty (pages 85–156): Didier Dubois and Henri PradeChapter 4 Human Decision: Recognition plus Reasoning (pages 157–197): Jean?Charles PomerolChapter 5 Multiple Objective Linear Programming (pages 199–264): Jacques TeghemChapter 6 Constraint Satisfaction Problems (pages 265–320): Gerard Verfaillie and Thomas SchiexChapter 7 Logical Representation of Preferences (pages 321–363): Jerome LangChapter 8 Decision under Risk: The Classical Expected Utility Model (pages 365–384): Alain Chateauneuf, Michele Cohen and Jean?Marc TallonChapter 9 Decision under Uncertainty: The Classical Models (pages 385–400): Alain Chateauneuf, Michele Cohen and Jean?Yves JaffrayChapter 10 Cardinal Extensions of the EU Model Based on the Choquet Integral (pages 401–433): Alain Chateauneuf and Michele CohenChapter 11 A Survey of Qualitative Decision Rules under Uncertainty (pages 435–473): Didier Dubois, Helene Fargier, Henri Prade and Regis SabbadinChapter 12 A Cognitive Approach to Human Decision Making (pages 475–503): Eric Raufaste and Denis J. HiltonChapter 13 Bayesian Networks (pages 505–539): Jean?Yves JaffrayChapter 14 Planning under Uncertainty with Markov Decision Processes (pages 541–577): Regis SabbadinChapter 15 Multiattribute Utility Theory (pages 579–616): Mohammed Abdellaoui and Christophe GonzalesChapter 16 Conjoint Measurement Models for Preference Relations (pages 617–672): Denis Bouyssou and Marc PirlotChapter 17 Aggregation Functions for Decision Making (pages 673–721): Jean?Luc MarichalChapter 18 Subjective Evaluation (pages 723–778): Michel GrabischChapter 19 Social Choice Theory and Multicriteria Decision Aiding (pages 779–810): Denis Bouyssou, Thierry Marchant and Patrice PernyChapter 20 Metric and Latticial Medians (pages 811–856): Olivier Hudry, Bruno Leclerc, Bernard Monjardet and Jean?Pierre Barthelemy