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Multiple Criteria Decision Analysis (eBook)

State of the Art Surveys
Artikelnummer: 978-1-4939-3094-4
Einband: PDF
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In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA).  Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications.  Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date.

Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the "pre-theoretical" assumptions of MCDA.  Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences.  Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods.

Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique).  Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis.

Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector

and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO).  Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis.  Finally, Part VIII, on MCDM software, presents well known MCDA software packages.


In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA).  Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications.  Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date.

Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the "pre-theoretical" assumptions of MCDA.  Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences.  Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods.

Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique).  Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis.

Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector

and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO).  Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis.  Finally, Part VIII, on MCDM software, presents well known MCDA software packages.


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VerlagSpringer New York
EinbandPDF
Erscheinungsjahr2016
Seitenangabe1347 S.
AusgabekennzeichenEnglisch
AbbildungenXXXIII, 1347 p. 159 illus., 34 illus. in color.
Masse18'969 KB
Auflage16002 A. 2nd ed. 2016
PlattformPDF
ReiheInternational Series in Operations Research & Management Science; Business and Management; Business and Management
AutorGreco, Salvatore (Hrsg.) / Ehrgott, Matthias (Hrsg.) / Figueira, José Rui (Hrsg.)

Alle Bände der Reihe "International Series in Operations Research & Management Science; Business and Management; Business and Management (R0)"

Über den Autor Salvatore (Hrsg.) Greco

Salvatore Greco is a Professor at the University of Catania, Italy. His research focuses on multiple criteria decision making (MCDM), an area in which he has proposed several new methodologies such as the Dominance-based Rough Set Approach and Robust Ordinal Regression. For his contributions in the field, he received the Gold Medal from the MCDM International Society. Vincent Mousseau is a Professor of Computer Science at Centrale Supélec, University of Paris-Saclay (France). His research interests include decision modeling and preference elicitation with a particular focus on multiple criteria decisions. He is also interested in filling the gap between preference learning in artificial intelligence and preference elicitation in multiple criteria decision making. Jerzy Stefanowski is a Professor at the Poznan University of Technology (Poland). He is also a corresponding member of the Polish Academy of Sciences. His research interests include machine learning, data mining and intelligent decision support, in particular multiple classifiers, dealing with class imbalance, concept drift, classification of data streams, rule induction, classification of big data and handling uncertain data. Constantin Zopounidis is a Professor at the Technical University of Crete (Greece) and the Audencia Business School (France). He is an Honorary Professor at the Department of Economics of the Aristotle University of Thessaloniki (Greece). His research interests are in multiple criteria decision aiding (MCDA) and preference disaggregation, sorting methods and classification problems. For his contributions to the field, he received the Edgeworth-Pareto Award from the MCDM International Society

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