Decision Making Process

Decision Making Process
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Concepts and Methods
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Artikel-Nr:
9780470610305
Veröffentl:
2010
Einband:
E-Book
Seiten:
928
Autor:
Didier Dubois
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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.
This book provides an overview of the main methods and results inthe formal study of the human decision-making process, as definedin a relatively wide sense. A key aim of the approach containedhere is to try to break down barriers between various disciplinesencompassed by this field, including psychology, economics andcomputer science. All these approaches have contributed to progressin this very important and much-studied topic in the past, but nonehave proved sufficient so far to define a complete understanding ofthe highly complex processes and outcomes. This book provides thereader with state-of-the-art coverage of the field, essentiallyforming a roadmap to the field of decision analysis.The first part of the book is devoted to basic concepts andtechniques for representing and solving decision problems, rangingfrom operational research to artificial intelligence. Laterchapters provide an extensive overview of the decision-makingprocess under conditions of risk and uncertainty. Finally, thereare chapters covering various approaches to multi-criteriadecision-making. Each chapter is written by experts in the topicconcerned, and contains an extensive bibliography for furtherreading and reference.
Preface xxiChapter 1. From Decision Theory to Decision-aiding Methodology 1Alexis TSOUKIASChapter 2. Binary Relations and PreferenceModeling 49Denis BOUYSSOU, Philippe VINCKEChapter 3. Formal Representations of Uncertainty 85Didier DUBOIS, Henri PRADEChapter 4. Human Decision: Recognition plus Reasoning 157Jean-Charles POMEROLChapter 5. Multiple Objective Linear Programming 199Jacques TEGHEMChapter 6. Constraint Satisfaction Problems 265Gerard VERFAILLIE, Thomas SCHIEXChapter 7. Logical Representation of Preferences 321Jerome LANGChapter 8. Decision under Risk: The Classical Expected Utility Model 365Alain CHATEAUNEUF, Michele COHEN, Jean-Marc TALLONChapter 9. Decision under Uncertainty: The Classical Models 385Alain CHATEAUNEUF, Michele COHEN, Jean-Yves JAFFRAYChapter 10. Cardinal Extensions of the EU Model Based on the Choquet Integral 401Alain CHATEAUNEUF, Michele COHENChapter 11. A Survey of Qualitative Decision Rules under Uncertainty 435Didier DUBOIS, Helene FARGIER, Henri PRADE, Regis SABBADINChapter 12. A Cognitive Approach to Human Decision Making 475Eric RAUFASTE, Denis J. HILTONChapter 13. Bayesian Networks 505Jean-Yves JAFFRAYChapter 14. Planning under Uncertainty with Markov Decision Processes 541Regis SABBADINChapter 15. Multiattribute Utility Theory 579Mohammed ABDELLAOUI, Christophe GONZALESChapter 16. Conjoint Measurement Models for Preference Relations 617Denis BOUYSSOU, Marc PIRLOTChapter 17. Aggregation Functions for Decision Making 673Jean-Luc MARICHALChapter 18. Subjective Evaluation 723Michel GRABISCHChapter 19. Social Choice Theory and Multicriteria Decision Aiding 779Denis BOUYSSOU, Thierry MARCHANT, Patrice PERNYChapter 20.Metric and Latticial Medians 811Olivier HUDRY, Bruno LECLERC, BernardMONJARDET, Jean-Pierre BARTHELEMYList of Authors 857Index 861

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