附註:Includes bibliographical references and index.
Cover -- Contents -- List of Figures -- List of Tables -- Introduction -- 1 Human Reflection about Decision -- 2 Technical Reflection about Decision: MCDA Researchers before MCDA -- 3 The Reasons for this Collection of State-of-the-Art Surveys -- 4 A Guided Tour of the Book -- 5 Acknowledgment to the Referees -- References -- Part I An Overview of MCDA Techniques Today -- 1 Paradigms and Challenges -- 1. What Are the Expectations that Multicriteria Decision Aiding (MCDA) Responds to? -- 2. Three Basic Concepts -- 3. How to Take Into Account Imperfect Knowledge? -- 4. An Operational Point of View -- 5. Conclusion -- Part II Foundations of MCDA -- 2 Preference Modelling -- 1. Introduction -- 2. Purpose -- 3. Nature of Information -- 4. Notation and Basic Definitions -- 5. Languages -- 6. Preference Structures -- 7. Domains and Numerical Representations -- 8. Logic of Preferences -- 9. Conclusion -- 3 Conjoint measurement tools for MCDM -- 1. Introduction and Motivation -- 2. Definitions and Notation -- 3. The Additive Value Model in the "Rich" Case -- 4. The Additive Value Model in the "Finite" Case -- 5. Extensions -- Part III Outranking Methods -- 4 ELECTRE Methods -- 1. Introduction: A Brief History -- 2. Main Features of ELECTRE Methods -- 3. A Short Description of ELECTRE Methods -- 4. Recent Developments and Future Issues -- 5. Software and Applications -- 6. Conclusion -- 5 PROMETHEE Methods -- 1. History -- 2. Multicriteria Problems -- 3. The PROMETHEE Preference Modelling Information -- 4. The PROMETHEE I and II Rankings -- 5. The GAIA Visual Interactive Module -- 6. The PROMETHEE VI Sensitivity Tool (The "Human Brain") -- 7. PROMETHEE V: MCDA under Constraints -- 8. The PROMETHEE GDSS Procedure -- 9. The DECISION LAB Software -- 6 Other Outranking Approaches -- 1. Introduction -- 2. Other Outranking Methods -- 3. Pairwise Criterion Comparison Approach -- 4. One Outranking Method for Stochastic Data -- 5. Conclusions -- Part IV Multiattribute Utility and V
摘要:MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis literature. These literature streams are: MCDA today, Foundations of MCDA, Our Ranking Methods, Multiattribute Utility Theory, Non-Classical MCDA Approaches, Multiobjective Mathematical Programming, Applications, and MCDM Software.
