Custom cover image
Handbook of Multicriteria Analysis / edited by Constantin Zopounidis, Panos M. Pardalos
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Applied Optimization ; 103 | SpringerLink BücherPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: Online-Ressource (XXV, 455 p. 92 illus, online resource)ISBN:- 9783540928287
- 658.40301
- 658.4034
- HD30.23
Contents:
Summary: 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 -- 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 -- 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 -- Applications -- Applying the EPISSURE Approach for the Evaluation of Business Sponsorship Performance -- Optimal Capital Structure -- Applications of MCDA in Marketing and e-Commerce.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.PPN: PPN: 1649768052Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
HANDBOOK OF MULTICRITERIA ANALYSIS; Preface; The Multicriteria Analysis Paradigm; The Evolution of Multicriteria Analysis and Current Status; Outline of the Book; Aims and Scope; Organization; Issues in Decision Aiding; Multicriteria Decision Aid Methodologies; Multiobjective Optimization; Applications; Acknowledgements; References; Contents; List of Contributors; Part I Issues in Decision Aiding; Chapter 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; 1.2 A Twofold Observation
1.3 First Proposal: Move Beyond the Scenario Concept1.4 Second Proposal: Take the Way That the Different Versions are Processed Explicitly into Account; 1.5 Third Proposal: Look for "Other" Definitions for Robust Solutions; 1.5.1 Abandoning the Third Characteristic Feature Without Necessarily Abandoning the First Two; 1.5.2 Abandoning the Last Two Characteristic Features Without Necessarily Abandoning the Third; 1.5.3 Abandoning the First of the Three Characteristic Features; 1.6 Fourth Proposal: Seek to Construct "Robust Conclusions"; 1.6.1 Definitions; 1.6.2 Examples
1.6.3 How Can Robust Conclusions be Obtained?1.7 Conclusion; References; Chapter 2: Multi-Criteria Decision Analysis for Strategic Decision Making; 2.1 Introduction; 2.1.1 Strategic Decisions and Strategic Decision Making; 2.1.2 Technical Complexity; 2.1.3 Social Complexity; 2.2 MCDA for Strategic Decision Making: modelling content; 2.2.1 Tackling Uncertainty with Future Scenarios; 2.2.2 Considering Multiple Objectives; 2.2.3 Identifying Robust Options; 2.2.4 Designing Robust Options; 2.2.5 Designing and Appraising Complex Strategic Options; 2.2.6 Considering Long Term Consequences
2.3 MCDA for Strategic Decision Making: Facilitating Process2.3.1 Facilitated Decision Modelling; 2.3.2 Becoming a Facilitative Decision Modeller; 2.4 Conclusions; References; Part II Multiple Criteria Decision Aid Methodologies; Chapter 3: ELECTRE Methods: Main Features and Recent Developments; 3.1 Introduction; 3.1.1 The Constructivist Conception of MCDA; 3.1.1.1 Decision Aiding Situation/Decision Aiding Process; 3.1.1.2 Three Fundamental Pillars; 3.1.1.3 The "European" Conception of MCDA; 3.1.2 Notation; 3.2 Main Features; 3.2.1 Modeling Four Main Preference Situations
3.2.2 Preference Modeling Through Outranking Relations3.2.2.1 The Concept of Pseudo-criterion; 3.2.2.2 The Definition of the Partial Binary Relations; 3.2.2.3 The Comprehensive Outranking Relation; 3.2.3 The Concepts of Concordance and Discordance; 3.2.3.1 Concordance; 3.2.3.2 Discordance; 3.2.4 Structure; 3.2.4.1 Multiple Criteria Aggregation Procedures (MCAPs); 3.2.4.2 Exploitation Procedures (EPs); 3.2.4.3 The Nature of the Results; 3.2.4.4 Software; 3.2.5 Strong Features; 3.2.5.1 The Qualitative Nature of Some Criteria; 3.2.5.2 The Heterogeneity of Scales
3.2.5.3 The Non-relevance of Compensatory Effects
No physical items for this record