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Handbook of multicriteria analysis [electronic resource] / edited by Constantin Zopounidis, Panos M. Pardalos

Published
Berlin ; Heidelberg : Springer-Verlag, [2010]
Copyright Date
©2010
Physical Description
1 online resource (xxv, 455 pages)
Additional Creators
Zopounidis, Constantin and Pardalos, P. M. (Panos M.), 1954-
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Contents
Machine generated contents note: 1.To Better Respond to the Robustness Concern in Decision Aiding: Four Proposals Based on a Twofold Observation -- 1.1.The Robustness Concern in Decision Aiding / Bernard Roy -- 1.2.A Twofold Observation / Bernard Roy -- 1.3.First Proposal: Move Beyond the Scenario Concept / Bernard Roy -- 1.4.Second Proposal: Take the Way That the Different Versions are Processed Explicitly into Account / Bernard Roy -- 1.5.Third Proposal: Look for "Other" Definitions for Robust Solutions / Bernard Roy -- 1.5.1.Abandoning the Third Characteristic Feature Without Necessarily Abandoning the First Two / Bernard Roy -- 1.5.2.Abandoning the Last Two Characteristic Features Without Necessarily Abandoning the Third / Bernard Roy -- 1.5.3.Abandoning the First of the Three Characteristic Features / Bernard Roy -- 1.6.Fourth Proposal: Seek to Construct "Robust Conclusions" / Bernard Roy -- 1.6.1.Definitions / Bernard Roy -- 1.6.2.Examples / Bernard Roy -- 1.6.3.How Can Robust Conclusions be Obtained? / Bernard Roy -- 1.7.Conclusion / Bernard Roy -- References / Bernard Roy -- 2.Multi-Criteria Decision Analysis for Strategic Decision Making / Bernard Roy -- 2.1.Introduction / Alberto Franco / Gilberto Montibeller -- 2.1.1.Strategic Decisions and Strategic Decision Making / Alberto Franco / Gilberto Montibeller -- 2.1.2.Technical Complexity / Alberto Franco / Gilberto Montibeller -- 2.1.3.Social Complexity / Alberto Franco / Gilberto Montibeller -- 2.2.MCDA for Strategic Decision Making: modelling content / Alberto Franco / Gilberto Montibeller -- 2.2.1.'adding Uncertainty with Future Scenarios / Alberto Franco / Gilberto Montibeller -- 2.2.2.Considering Multiple Objectives / Alberto Franco / Gilberto Montibeller -- 2.2.3.Identifying Robust Options / Alberto Franco / Gilberto Montibeller -- 2.2.4.Designing Robust Options / Alberto Franco / Gilberto Montibeller -- 2.2.5.Designing and Appraising Complex Strategic Options / Alberto Franco / Gilberto Montibeller -- 2.2.6.Considering Long Term Consequences / Alberto Franco / Gilberto Montibeller -- 2.3.MCDA for Strategic Decision Making: Facilitating Process / Alberto Franco / Gilberto Montibeller -- 2.3.1.Facilitated Decision Modelling / Alberto Franco / Gilberto Montibeller -- 2.3.2.Becoming a Facilitative Decision Modeller / Alberto Franco / Gilberto Montibeller -- 2.4.Conclusions / Alberto Franco / Gilberto Montibeller -- References / Alberto Franco / Gilberto Montibeller -- 3.ELECTRE Methods: Main Features and Recent Developments / Alberto Franco / Gilberto Montibeller -- 3.1.Introduction / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.1.1.The Constructivist Conception of MCDA / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.1.2.Notation / Roman Slowinski / Bernard Roy / Salvatore Greco / Jose Rui Figueira -- 3.2.Main Features / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.1.Modeling Four Main Preference Situations / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.2.Preference Modeling Through Outranking Relations / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.3.The Concepts of Concordance and Discordance / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.4.Structure / Jose Rui Figueira / Salvatore Greco / Bernard Roy / Roman Slowinski -- 3.2.5.Strong Features / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.6.Weaknesses / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.2.7.A Discussion of the Weak and the Strong Points of ELECTRE Methods / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.3.Recent Developments / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.3.1.Methodological Developments / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.3.2.Improvements, and New Approaches / Salvatore Greco / Jose Rui Figueira / Roman Slowinski / Bernard Roy -- 3.3.3.Axiomatic and Meaningfulness Analysis / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.3.4.Other Aspects / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 3.4.Concluding Remarks / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- References / Jose Rui Figueira / Roman Slowinski / Bernard Roy / Salvatore Greco -- 4.The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles / Roman Slowinski / Bernard Roy / Salvatore Greco / Jose Rui Figueira -- 4.1.Introduction / Mariya Sodenkamp / Thomas L. Saaty -- 4.2.Paired Comparisons, The Fundamental Scale, Eigenvectors, Consistency, Homogeneity / Mariya Sodenkamp / Thomas L. Saaty -- 4.2.1.Paired Comparisons and the Fundamental Scale / Mariya Sodenkamp / Thomas L. Saaty -- 4.2.2.Homogeneity / Mariya Sodenkamp / Thomas L. Saaty -- 4.3.Additive Composition is Necessary / Mariya Sodenkamp / Thomas L. Saaty -- 4.3.1.Benefits, Opportunities, Costs and Risks / Mariya Sodenkamp / Thomas L. Saaty -- 4.4.Hierarchies / Mariya Sodenkamp / Thomas L. Saaty -- 4.5.An Example: The Hospice Problem / Mariya Sodenkamp / Thomas L. Saaty -- 4.5.1.Judgments and Comparisons / Mariya Sodenkamp / Thomas L. Saaty -- 4.6.Absolute Measurement - Rating Alternatives One at a Time / Mariya Sodenkamp / Thomas L. Saaty -- 4.7.On the Admission of China to the World Trade Organization (WTO) [4] / Mariya Sodenkamp / Thomas L. Saaty -- 4.8.Networks, Dependence and Feedback [2, 5] / Mariya Sodenkamp / Thomas L. Saaty -- 4.8.1.ANP Formulation of the Classic AHP School Example / Mariya Sodenkamp / Thomas L. Saaty -- 4.9.Market Share Examples Mainly to Justify with Existing Measurements Subjective Judgment that does not Refer to any Numerical Data / Mariya Sodenkamp / Thomas L. Saaty -- 4.9.1.An ANP Network with a Single Control Criterion - Market Share / Mariya Sodenkamp / Thomas L. Saaty -- 4.9.2.Compatibility Index / Mariya Sodenkamp / Thomas L. Saaty -- 4.9.3.Example I: Estimating the Relative Market Share of Walmart, Kmart and Target / Mariya Sodenkamp / Thomas L. Saaty -- 4.9.4.Example 2: Estimating Relative Market Share of Airlines (close outcome) / Mariya Sodenkamp / Thomas L. Saaty -- 4.10.Outline of Steps of the ANP / Mariya Sodenkamp / Thomas L. Saaty -- 4.11.A Complete BOCR Example / Mariya Sodenkamp / Thomas L. Saaty -- 4.11.1.Introduction/Background / Mariya Sodenkamp / Thomas L. Saaty -- 4.11.2.Ultimate Goal for Disney / Mariya Sodenkamp / Thomas L. Saaty -- 4.11.3.Main Model / Mariya Sodenkamp / Thomas L. Saaty -- 4.12.Decision on National Missile Defense (NMD) - An Application of the ANP with Strong Risks (Analysis done in 2000, decision made to implement in December 2002) / Mariya Sodenkamp / Thomas L. Saaty -- 4.12.1.Criteria and Decision Networks [5] / Mariya Sodenkamp / Thomas L. Saaty -- 4.12.2.Full Development of the Analysis with Respect to a Single Criterion / Mariya Sodenkamp / Thomas L. Saaty -- 4.12.3.BOCR Weight Development / Mariya Sodenkamp / Thomas L. Saaty -- 4.13.Group Decision Making [3, 6, 9] / Mariya Sodenkamp / Thomas L. Saaty -- 4.13.1.How to Aggregate Individual Judgments / Mariya Sodenkamp / Thomas L. Saaty -- 4.13.2.On the Construction of Group Choice from Individual Choices / Mariya Sodenkamp / Thomas L. Saaty -- 4.14.Rank Preservation and Reversal / Mariya Sodenkamp / Thomas L. Saaty -- 4.15.Conclusions / Thomas L. Saaty / Mariya Sodenkamp -- References / Mariya Sodenkamp / Thomas L. Saaty -- 5.Preference Programming [–] Multicriteria Weighting Models under Incomplete Information / Mariya Sodenkamp / Thomas L. Saaty -- 5.1.Introduction / Raimo P.Hämäläinen / Ahti Salo -- 5.2.Key Characteristics of Preference Programming / Raimo P.Hämäläinen / Ahti Salo -- 5.2.1.Additive Preference Representation / Raimo P.Hämäläinen / Ahti Salo -- 5.2.2.Preference Elicitation / Raimo P.Hämäläinen / Ahti Salo -- 5.2.3.Dominance Structures / Raimo P.Hämäläinen / Ahti Salo -- 5.2.4.Decision Rules / Raimo P.Hämäläinen / Ahti Salo -- 5.2.5.Management of Inconsistencies / Raimo P.Hämäläinen / Ahti Salo -- 5.2.6.Dominance Structures, Decision Rules and Rank Reversals / Raimo P.Hämäläinen / Ahti Salo -- 5.3.Case Studies and Decision Support Tools / Raimo P.Hämäläinen / Ahti Salo -- 5.4.Experiences from Applications / Raimo P.Hämäläinen / Ahti Salo -- 5.5.Guidelines for Applications / Raimo P.Hämäläinen / Ahti Salo -- 5.6.Outstanding Research Questions / Ahti Salo / Raimo P.Hämäläinen -- 5.7.Conclusion / Ahti Salo / Raimo P.Hämäläinen -- References / Ahti Salo / Raimo P.Hämäläinen -- 6.New Trends in Aggregation-Disaggregation Approaches / Ahti Salo / Raimo P.Hämäläinen -- 6.1.Introduction / Yannis Siskos / Evangelos Grigoroudis -- 6.2.The UTA Family of Models / Yannis Siskos / Evangelos Grigoroudis -- 6.2.1.UTA and UTASTAR Methods / Yannis Siskos / Evangelos Grigoroudis -- 6.2.2.Extensions of the UTA Method / Yannis Siskos / Evangelos Grigoroudis -- 6.3.Post-optimality Analysis and Robustness / Yannis Siskos / Evangelos Grigoroudis -- 6.3.1.Post-optimality Analysis / Yannis Siskos / Evangelos Grigoroudis -- 6.3.2.Robustness in UTA-type Models / Yannis Siskos / Evangelos Grigoroudis -- 6.3.3.Building Preference Relations / Yannis Siskos / Evangelos Grigoroudis -- 6.4.Group and Collective Decision Approaches / Evangelos Grigoroudis / Yannis Siskos -- 6.5.Conclusions and Future Research / Evangelos Grigoroudis / Yannis Siskos -- References / Evangelos Grigoroudis / Yannis Siskos -- 7.Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support / Evangelos Grigoroudis / Yannis Siskos -- 7.1.Introduction / Constantin Zopounidis / Michael Doumpos -- 7.2.The Disaggregation Approach in MCDA / Constantin Zopounidis / Michael Doumpos -- and Contents note continued: 7.2.1.General Framework / Constantin Zopounidis / Michael Doumpos -- 7.2.2.Methods and Implementations / Constantin Zopounidis / Michael Doumpos -- 7.3.Statistical Learning and Data Mining / Constantin Zopounidis / Michael Doumpos -- 7.3.1.General Framework / Constantin Zopounidis / Michael Doumpos -- 7.3.2.Methods / Constantin Zopounidis / Michael Doumpos -- 7.3.3.Neural Networks / Constantin Zopounidis / Michael Doumpos -- 7.3.4.Decision Trees and Rule-Based Models / Constantin Zopounidis / Michael Doumpos -- 7.3.5.Support Vector Machines / Constantin Zopounidis / Michael Doumpos -- 7.3.6.Ensembles / Constantin Zopounidis / Michael Doumpos -- 7.4.Similarities and Differences / Constantin Zopounidis / Michael Doumpos -- 7.5.Interactions / Constantin Zopounidis / Michael Doumpos -- 7.5.1.Using Statistical Learning Methods for Disaggregation Analysis and MCDA / Constantin Zopounidis / Michael Doumpos -- 7.5.2.MCDA Concepts in Statistical Learning Models / Constantin Zopounidis / Michael Doumpos -- 7.6.Conclusions / Constantin Zopounidis / Michael Doumpos -- References / Constantin Zopounidis / Michael Doumpos -- 8.Multiobjective Optimization, Systems Design and De Novo Programming / Constantin Zopounidis / Michael Doumpos -- 8.1.Introduction / Milan Zeleny -- 8.2.What is Multiobjective Optimization? / Milan Zeleny -- 8.2.1.What is Optimization? / Milan Zeleny -- 8.3.Tradeoffs-Based versus Tradeoffs-Free Thinking / Milan Zeleny -- 8.3.1.Pareto-Efficiency / Milan Zeleny -- 8.4.Optimal Systems Design / Milan Zeleny -- 8.4.1.Profit Maximization / Milan Zeleny -- 8.5.Foundations of De Novo Programming / Milan Zeleny -- 8.5.1.Multiple Criteria De Novo Programming / Milan Zeleny -- 8.6.Examples of Applications / Milan Zeleny -- 8.6.1.Compromise Programming / Milan Zeleny -- 8.6.2.Risk Management / Milan Zeleny -- 8.6.3.Conflict Dissolution / Milan Zeleny -- 8.6.4.Added Value / Milan Zeleny -- 8.7.Conclusions / Milan Zeleny -- References / Milan Zeleny -- 9.Interactive Multiple Objective Programming Methods / Milan Zeleny -- 9.1.Introduction / Pekka Korhonen / Jyrki Wallenius -- 9.2.Basic Definitions and Some Theory / Jyrki Wallenius / Pekka Korhonen -- 9.3.Principles for Implementing Interactive Methods / Jyrki Wallenius / Pekka Korhonen -- 9.4.Generating Nondominated Solutions / Jyrki Wallenius / Pekka Korhonen -- 9.4.1.A Linear Scalarizing Function / Pekka Korhonen / Jyrki Wallenius -- 9.4.2.A Chebyshev-type Scalarizing Function / Jyrki Wallenius / Pekka Korhonen -- 9.5.Solving Multiple Objective Problems / Jyrki Wallenius / Pekka Korhonen -- 9.5.1.Properties of a Good Multiple Criteria Decision Support System / Jyrki Wallenius / Pekka Korhonen -- 9.5.2.Role of Interface / Jyrki Wallenius / Pekka Korhonen -- 9.6.Final Solution / Jyrki Wallenius / Pekka Korhonen -- 9.7.Examples of Software Systems: VIG and VIMDA / Jyrki Wallenius / Pekka Korhonen -- 9.7.1.VIG / Jyrki Wallenius / Pekka Korhonen -- 9.7.2.VIMDA / Jyrki Wallenius / Pekka Korhonen -- 9.8.Concluding Remarks / Jyrki Wallenius / Pekka Korhonen -- References / Jyrki Wallenius / Pekka Korhonen -- 10.On Multi-Objective Evolutionary Algorithms / Jyrki Wallenius / Pekka Korhonen -- 10.1.Introduction / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.2.Multi-Objective Optimization / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.2.1.Definitions and Concepts / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.2.2.Addressing Multi-Objectives / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.3.Multi-Objective Evolutionary Algorithms / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.3.1.Reduced Pareto Set Genetic Algorithm (RPSGA) / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.3.2.Recent Developments / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.4.Applications / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.4.1.Engineering / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.4.2.Industrial / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.4.3.Economics and Management / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.4.4.Other Applications / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 10.5.Conclusions / António Gaspar-Cunha / Dalila B.M.M. Fontes -- References / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 11.Goal Programming: From Constrained Regression to Bounded Rationality Theories / António Gaspar-Cunha / Dalila B.M.M. Fontes -- 11.1.A Historical Sketch / Carlos Romero / Jacinto González-Pachón -- 11.2.Goal Programming and Bounded Rationality Theories / Jacinto González-Pachón / Carlos Romero -- 11.3.Some Basic Goal Programming Models / Carlos Romero / Jacinto González-Pachón -- 11.4.A Utility Interpretation of a Goal Programming Model / Carlos Romero / Jacinto González-Pachón -- 11.5.Some Extensions of the Traditional Achievement Functions / Carlos Romero / Jacinto González-Pachón -- 11.6.Some Critical Issues and Extensions / Carlos Romero / Jacinto González-Pachón -- 11.6.1.Paretian Efficiency and GP / Carlos Romero / Jacinto González-Pachón -- 11.6.2.The Selection of Preferential Weights in GP / Carlos Romero / Jacinto González-Pachón -- 11.6.3.Redundancy in LGP / Carlos Romero / Jacinto González-Pachón -- 11.6.4.Links Between GP and Other MCDM Approaches / Carlos Romero / Jacinto González-Pachón -- 11.7.Other Topics / Carlos Romero / Jacinto González-Pachón -- 11.7.1.Interactive GP / Carlos Romero / Jacinto González-Pachón -- 11.7.2.GP and Artificial Intelligence / Carlos Romero / Jacinto González-Pachón -- 11.7.3.GP and the Aggregation of Individual Preferences / Carlos Romero / Jacinto González-Pachón -- 11.7.4.Stochastic GP / Carlos Romero / Jacinto González-Pachón -- 11.7.5.Fuzzy GP / Carlos Romero / Jacinto González-Pachón -- 11.7.6.GP and Data Envelopment Analysis / Carlos Romero / Jacinto González-Pachón -- 11.8.Conclusions and Areas for Future Research / Jacinto González-Pachón / Carlos Romero -- Appendix / Jacinto González-Pachón / Carlos Romero -- References / Carlos Romero / Jacinto González-Pachón -- 12.Interactive Decomposition-Coordination Methods for Complex Decision Problems / Jacinto González-Pachón / Carlos Romero -- 12.1.Introduction / Alexander Engau -- 12.2.Decomposition in Decision-Making and Optimization / Alexander Engau -- 12.2.1.Mathematical Model / Alexander Engau -- 12.2.2.Decomposition Methods / Alexander Engau -- 12.3.Coordination of Decision Decompositions / Alexander Engau -- 12.3.1.Multidisciplinary Optimization / Alexander Engau -- 12.3.2.Hierarchical Multiobjective Analysis / Alexander Engau -- 12.4.Coordination of Objective Decompositions / Alexander Engau -- 12.4.1.Tradeoff-Based and 2D Decision-Making / Alexander Engau -- 12.4.2.Multiscenario Multiobjective Optimization / Alexander Engau -- 12.5.Summary / Alexander Engau -- References / Alexander Engau -- 13.Applying the EPISSURE Approach for the Evaluation of Business Sponsorship Performance / Alexander Engau -- 13.1.Introduction / Stéphan André / Bernard Roy -- 13.2.The EPISSURE Approach / Stéphan André / Bernard Roy -- 13.2.1.The Outline of the Approach / Stéphan André / Bernard Roy -- 13.2.2.The Tools for the Approach / Stéphan André / Bernard Roy -- 13.2.3.The Framed Dialogue Process / Stéphan André / Bernard Roy -- 13.2.4.The Set-up Stages of the EPISSURE Approach / Stéphan André / Bernard Roy -- 13.3.Testing and Implementing EPISSURE in Companies, for Sponsorship Projects / Stéphan André / Bernard Roy -- 13.3.1.Presentation of the Selected Companies / Stéphan André / Bernard Roy -- 13.3.2.Framing the Dialogue Approach (Stage no. 1.1) / Stéphan André / Bernard Roy -- 13.3.3.Tailoring the Synthesis Tools (Stage no. 1.2) / Stéphan André / Bernard Roy -- 13.3.4.Dialogue Sequence (Stage no. 2) / Stéphan André / Bernard Roy -- 13.3.5.Validation and Implementation of the EPISSURE approach (Stage no. 3) / Stéphan André / Bernard Roy -- 13.4.Observed Results / Stéphan André / Bernard Roy -- 13.5.Conclusion / Stéphan André / Bernard Roy -- References / Stéphan André / Bernard Roy -- 14.Optimal Capital Structure / Stéphan André / Bernard Roy -- 14.1.Introduction / Marc B.J. Schauten / Jaap Spronk -- 14.2.Maximizing Shareholder Value / Marc B.J. Schauten / Jaap Spronk -- 14.3.Other Objectives and Considerations / Marc B.J. Schauten / Jaap Spronk -- 14.4.Capital Structure as Multiple Criteria Decision Problem / Marc B.J. Schauten / Jaap Spronk -- 14.5.Summary / Jaap Spronk / Marc B.J. Schauten -- References / Jaap Spronk / Marc B.J. Schauten -- 15.Applications of MCDA in Marketing and e-Commerce / Marc B.J. Schauten / Jaap Spronk -- 15.1.Introduction / Stelios Tsafarakis / Kleanthi Lakiotaki / Nikolaos Matsatsinis -- 15.2.Marketing Applications / Stelios Tsafarakis / Nikolaos Matsatsinis / Kleanthi Lakiotaki -- 15.2.1.Consumer Preference Measurement / Stelios Tsafarakis / Kleanthi Lakiotaki / Nikolaos Matsatsinis -- 15.2.2.Modeling Consumer Behavior / Kleanthi Lakiotaki / Stelios Tsafarakis / Nikolaos Matsatsinis -- 15.3.e-Commerce Applications / Kleanthi Lakiotaki / Stelios Tsafarakis / Nikolaos Matsatsinis -- 15.3.1.Some Interesting Remarks on e-Commerce / Kleanthi Lakiotaki / Stelios Tsafarakis / Nikolaos Matsatsinis -- 15.3.2.MCDA in B2C e-Commerce / Stelios Tsafarakis / Kleanthi Lakiotaki / Nikolaos Matsatsinis -- 15.3.3.Examples of MCDA Applications in e-Commerce / Kleanthi Lakiotaki / Stelios Tsafarakis / Nikolaos Matsatsinis -- 15.4.Conclusions / Stelios Tsafarakis / Kleanthi Lakiotaki / Nikolaos Matsatsinis -- References / Stelios Tsafarakis / Kleanthi Lakiotaki / Nikolaos Matsatsinis.
Summary
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. --Book Jacket.
Subject(s)
ISBN
9783540928287
3540928286
Note
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Bibliography Note
Includes bibliographical references and index.
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