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The Resource Multiple criteria decision analysis : state of the art surveys, Salvatore Greco, Matthias Ehrgott, José Rui Figueira, editors, (electronic book)

Multiple criteria decision analysis : state of the art surveys, Salvatore Greco, Matthias Ehrgott, José Rui Figueira, editors, (electronic book)

Label
Multiple criteria decision analysis : state of the art surveys
Title
Multiple criteria decision analysis
Title remainder
state of the art surveys
Statement of responsibility
Salvatore Greco, Matthias Ehrgott, José Rui Figueira, editors
Contributor
Editor
Subject
Language
eng
Summary
In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA).℗l 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.℗l 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 ĺlpre-theoreticalĺl assumptions of MCDA.℗l 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.℗l 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).℗l 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).℗l 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.℗l Finally, Part VIII, on MCDM software, presents well known MCDA software packages
Member of
Cataloging source
N$T
Dewey number
658.4/033
Illustrations
illustrations
Index
index present
LC call number
T57.95
LC item number
.M86 2016
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Greco, Salvatore
  • Ehrgott, Matthias
  • Figueira, José
Series statement
International series in operations research & management science
Series volume
v. 233
http://library.link/vocab/subjectName
Multiple criteria decision making
Label
Multiple criteria decision analysis : state of the art surveys, Salvatore Greco, Matthias Ehrgott, José Rui Figueira, editors, (electronic book)
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • List of Figures; List of Tables; Introduction ; 1 Ten Years of Success of Multiple Criteria Decision Analysis and Reasons for This New Edition; 2 Human Reflection About Decision; 3 Technical Reflection About Decision: MCDA Researchers Before MCDA; 4 Reasons for This Collection of State-of-the-Art Surveys; 5 A Guided Tour of the Book; 5.1 Part I: The History and Current State of MCDA; 5.2 Part II: Foundations of MCDA; 5.3 Part III: Outranking Methods; 5.4 Part IV: Multi-attribute Utility and Value Theories; 5.5 Part V: Non-classical MCDA Approaches
  • 5.6 Part VI: Multiobjective Optimization5.7 Part VII: Applications; 5.8 Part VIII: MCDM Software; References; Volume I; Part I The History and Current State of MCDA; 1 An Early History of Multiple Criteria Decision Making; 1.1 Introduction; 1.2 Early Developments; 1.2.1 Moral Algebra; 1.2.2 Some Early Voting Results; 1.2.3 Pareto-Optimality; 1.2.4 Indifference Curves and Edgeworth Box; 1.2.5 Set Theory, Number Theory; 1.3 Origins of Decision Analysis, Utility Theory; 1.3.1 Economics as a Modern Science; 1.3.2 Expected Subjective Utility; 1.3.3 Theory of Games; 1.3.4 Revealed Preferences
  • 1.3.5 Bounded Rationality1.3.6 Social Choice and Individual Values; 1.3.7 Theory of Value; 1.3.8 Games and Decisions; 1.3.9 Behavioral Decision Theory; 1.3.10 Utility Theory; 1.3.11 The Òutranking Methods'; 1.4 Origins of Multiple Objective Mathematical Programming; 1.4.1 Efficient Vectors; 1.4.2 Goal Programming; 1.4.3 Parametric Programming; 1.4.4 Automatic Control; 1.4.5 Restricted Bargaining; 1.5 Conclusion; 2 Paradigms and Challenges; 2.1 What Are the Expectations that Multicriteria Decision Aiding (MCDA) Responds To?; 2.1.1 What Is Reasonable to Expect from Decision Aiding (DA)?
  • 2.1.2 Why Is DA More Often Multicriteria than Monocriterion?2.1.3 Can MCDA Be Always Totally Objective?; 2.2 Three Basic Concepts; 2.2.1 Alternative, and More Generally, Potential Action; 2.2.2 Criterion and Family of Criteria; 2.2.3 Problematic as a Way in Which DA May Be Envisaged; 2.3 How to Take into Account Imperfect Knowledge and Ill-Determination?; 2.4 An Operational Point of View; 2.4.1 About Multicriteria Aggregation Procedures; 2.4.2 Approach Based on a Synthesizing Criterion; 2.4.3 The Operational Approach Based on a Synthesizing Preference Relational System
  • 2.4.4 About Other Operational Approaches2.5 Conclusion; References; Part II Foundations of MCDA; 3 Preference Modelling; 3.1 Introduction; 3.2 Purpose; 3.3 Nature of Information; 3.4 Notation and Basic Definitions; 3.5 Languages; 3.5.1 Classic Logic; 3.5.2 Fuzzy Sets; 3.5.3 Four-Valued Logics; 3.6 Preference Structures ; 3.6.1 ""426830A P, I ""526930B Structures; 3.6.2 Extended Structures; 3.6.2.1 Preference Relations on n Ordered Points; 3.6.2.2 Several Preference Relations; 3.6.2.3 Incomparability; 3.6.3 Valued Structures; 3.7 Domains and Numerical Representations
Control code
SPR940572191
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (2 volumes)
File format
unknown
Form of item
online
Isbn
9781493930937
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Multiple criteria decision analysis : state of the art surveys, Salvatore Greco, Matthias Ehrgott, José Rui Figueira, editors, (electronic book)
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • List of Figures; List of Tables; Introduction ; 1 Ten Years of Success of Multiple Criteria Decision Analysis and Reasons for This New Edition; 2 Human Reflection About Decision; 3 Technical Reflection About Decision: MCDA Researchers Before MCDA; 4 Reasons for This Collection of State-of-the-Art Surveys; 5 A Guided Tour of the Book; 5.1 Part I: The History and Current State of MCDA; 5.2 Part II: Foundations of MCDA; 5.3 Part III: Outranking Methods; 5.4 Part IV: Multi-attribute Utility and Value Theories; 5.5 Part V: Non-classical MCDA Approaches
  • 5.6 Part VI: Multiobjective Optimization5.7 Part VII: Applications; 5.8 Part VIII: MCDM Software; References; Volume I; Part I The History and Current State of MCDA; 1 An Early History of Multiple Criteria Decision Making; 1.1 Introduction; 1.2 Early Developments; 1.2.1 Moral Algebra; 1.2.2 Some Early Voting Results; 1.2.3 Pareto-Optimality; 1.2.4 Indifference Curves and Edgeworth Box; 1.2.5 Set Theory, Number Theory; 1.3 Origins of Decision Analysis, Utility Theory; 1.3.1 Economics as a Modern Science; 1.3.2 Expected Subjective Utility; 1.3.3 Theory of Games; 1.3.4 Revealed Preferences
  • 1.3.5 Bounded Rationality1.3.6 Social Choice and Individual Values; 1.3.7 Theory of Value; 1.3.8 Games and Decisions; 1.3.9 Behavioral Decision Theory; 1.3.10 Utility Theory; 1.3.11 The Òutranking Methods'; 1.4 Origins of Multiple Objective Mathematical Programming; 1.4.1 Efficient Vectors; 1.4.2 Goal Programming; 1.4.3 Parametric Programming; 1.4.4 Automatic Control; 1.4.5 Restricted Bargaining; 1.5 Conclusion; 2 Paradigms and Challenges; 2.1 What Are the Expectations that Multicriteria Decision Aiding (MCDA) Responds To?; 2.1.1 What Is Reasonable to Expect from Decision Aiding (DA)?
  • 2.1.2 Why Is DA More Often Multicriteria than Monocriterion?2.1.3 Can MCDA Be Always Totally Objective?; 2.2 Three Basic Concepts; 2.2.1 Alternative, and More Generally, Potential Action; 2.2.2 Criterion and Family of Criteria; 2.2.3 Problematic as a Way in Which DA May Be Envisaged; 2.3 How to Take into Account Imperfect Knowledge and Ill-Determination?; 2.4 An Operational Point of View; 2.4.1 About Multicriteria Aggregation Procedures; 2.4.2 Approach Based on a Synthesizing Criterion; 2.4.3 The Operational Approach Based on a Synthesizing Preference Relational System
  • 2.4.4 About Other Operational Approaches2.5 Conclusion; References; Part II Foundations of MCDA; 3 Preference Modelling; 3.1 Introduction; 3.2 Purpose; 3.3 Nature of Information; 3.4 Notation and Basic Definitions; 3.5 Languages; 3.5.1 Classic Logic; 3.5.2 Fuzzy Sets; 3.5.3 Four-Valued Logics; 3.6 Preference Structures ; 3.6.1 ""426830A P, I ""526930B Structures; 3.6.2 Extended Structures; 3.6.2.1 Preference Relations on n Ordered Points; 3.6.2.2 Several Preference Relations; 3.6.2.3 Incomparability; 3.6.3 Valued Structures; 3.7 Domains and Numerical Representations
Control code
SPR940572191
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (2 volumes)
File format
unknown
Form of item
online
Isbn
9781493930937
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

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