Authors:
- Most comprehensive work available to survey the state of the art in MCDA to date
- Organized in eight parts and written by 52 international leading experts
- Valuable reference volume (more than 2000 references) for the field of decision analysis and is particularly suitable for use in seminars in Decision Analysis, Decision Support, and Decision Theory
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 78)
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Table of contents (24 chapters)
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Front Matter
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An Overview of MCDA Techniques Today
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Foundations of MCDA
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Outranking Methods
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Multiobjective Mathematical Programming
About this book
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.
Reviews
Roman Slowinski (Poznan University of Technology, Editor of EJOR): "The Editors are to be congratulated for an excellent work. They attracted the most representative authors and contributors for contemporary MDCA. I have never seen such a complete and up-to-date book on MCDA. It will be a basic reference for the next decade."
Authors and Affiliations
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University of Coimbra, Coimbra
JosÉ Figueira
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University of Catania, Catania
Salvatore Greco
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University of Auckland, Auckland
Matthias Ehrogott
Bibliographic Information
Book Title: Multiple Criteria Decision Analysis: State of the Art Surveys
Authors: JosÉ Figueira, Salvatore Greco, Matthias Ehrogott
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/b100605
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag New York 2005
eBook ISBN: 978-0-387-23081-8Published: 20 January 2006
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXXVI, 1048
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Econometrics, Optimization, Mathematical Modeling and Industrial Mathematics, Operations Management