Multiple Criteria Decision Analysis (MCDA) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDA is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books about MCDA (all in the ISOR series), and it brings all the latest advancements into focus. Looking at developments in the applications, methodologies and foundations of MCDA, it presents research from leaders in the field on such topics as Problem Structuring Methodologies, Measurement Theory and MCDA, Recent Developments in Evolutionary Multiobjective Optimization, Habitual Domains and Dynamic MCDA in Changeable Spaces, Stochastic Multicriteria Acceptability Analysis, Robust Ordinal Regression, and many more challenging issues.
Trends in Multiple Criteria Decision Analysis
International Series in Operations Research & Management Science
Volume 142
Series Editor: Frederick S. Hillier Stanford University, CA, USA Special Editorial Consultant: Camille C. Price Stephen F. Austin State University, TX, USA
For other volumes: http://www.springer.com/series/6161
Matthias Ehrgott Salvatore Greco
Jos´e Rui Figueira
Editors
Trends in Multiple Criteria Decision Analysis
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Editors Assoc. Prof. Matthias Ehrgott The University of Auckland Department of Engineering Science Auckland 1142 New Zealand
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Prof. Salvatore Greco Universit`a di Catania Facolt`a di Economia Corso Italia 55 95129 Catania Italy
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Assoc. Prof. Jos´e Rui Figueira Instituto Superior Tecnico Departamento de Engenharia e Gestao Tagus Park, Av. Cavaco Silva 2780-990 Porto Salvo Portugal
[email protected]
ISSN 0884-8289 ISBN 978-1-4419-5903-4 e-ISBN 978-1-4419-5904-1 DOI 10.1007/978-1-4419-5904-1 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010932006 c Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Contents
List of Figures . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . vii List of Tables. . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . ix Introduction . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . xi