Decision Making Process (inbunden)
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ISTE Ltd and John Wiley & Sons Inc
234 x 157 x 56 mm
1430 g
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Decision Making Process (inbunden)

Decision Making Process

Concepts and Methods

Inbunden Engelska, 2009-05-08
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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.
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Denis Bouyssou is a Senior Researcher at CNRS, Paris Dauphine University, France. Marc Pirlot is Professor of Mathematics and Operational Research at Faculte Polytechnique de Mons in Belgium. Didier Dubois and Henri Prade are Senior Researchers at CNRS, University of Toulouse, France.


Preface xxi Chapter 1. From Decision Theory to Decision-aiding Methodology 1 Alexis TSOUKIAS Chapter 2. Binary Relations and PreferenceModeling 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, BernardMONJARDET, Jean-Pierre BARTHELEMY List of Authors 857 Index 861