Synopses & Reviews
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.
Review
From the reviews: "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)
Synopsis
Multicriteria analysis is a rapidly growing field in operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in this field, including multicriteria optimization, multiattribute utility theory, outranking methods, disaggregation techniques. Recent developments on robustness/sensitivity analysis, efficiency measurement. decision making under uncertainty and stochastic modeling are also discussed. Special emphasis is also given to applications in several fields, such as environment, management, engineering and economics, together with the implementations in decision support systems. Finally, the interactions of multicriteria analysis with other disciplines are also analyzed, including among others fuzzy sets, rough sets, data mining, artificial intelligence and evolutionary methods.
Synopsis
Multicriteria analysis is a growing field in operations research and management science. This book presents recent advances in this area, including multicriteria optimization, multiattribute utility theory, outranking methods, disaggregation techniques.
Table of Contents
Part I Issues in Decision Aiding: To Better Respond to the Robustness Concern in Decision Aiding: Four Proposals Based on a Twofold Observation; Multi-Criteria Decision Analysis for Strategic Decision Making. Part II Multiple Criteria Decision Aid Methodologies: ELECTRE Methods: Main Features and Recent Developments; The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles; Preference Programming - Multicriteria Weighting Models under Incomplete Information; New Trends in Aggregation-Disaggregation Approaches; Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support. Part III Multiobjective Optimization: Multiobjective Optimization, Systems Design and De Novo Programming; Interactive Multiple Objective Programming Methods; On Multi-Objective Evolutionary Algorithms; Goal Programming: From Constrained Regression to Bounded Rationality Theories; Interactive Decomposition-Coordination Methods for Complex Decision Problems. Part IV Applications: Applying the EPISSURE Approach for the Evaluation of Business Sponsorship Performance; Optimal Capital Structure; Applications of MCDA in Marketing and e-Commerce.