Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
“This Handbook is valuable because it includes a presentation of recent achievements, which can be particularly helpful to both novices and experts in applied fields who intend to apply multicriteria methods. … that a broad readership including among others researchers, graduate students, and practitioners who are interested in management science, operations research, and decision analysis, will find in that book a complete coverage of the recent advances in different aspects of MCDA and the state-of-art research in this field’ … .” (Antanas Zilinskas, Interfaces, Vol. 41 (4), July-August, 2011)
“The present book presents some of the recent advances in multicriteria analysis and robustness analysis and explores the links of multicriteria analysis with other disciplines. … The present book would benefit a large audience including among others researchers, graduate students, and practitioners who are interested in management science, operations research and decision analysis.” (C. S. Lalitha, Zentralblatt MATH, Vol. 1207, 2011)
From the Back Cover
Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
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