The Resource Constraint Programming and Decision Making
Constraint Programming and Decision Making
Resource Information
The item Constraint Programming and Decision Making represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Constraint Programming and Decision Making represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
 Summary
 This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas. The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd'XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world. It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints
 Language
 eng
 Extent
 1 online resource (133 pages).
 Note
 Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
 Contents

 Preface; References; Contents; Why Deep Neural Networks: A Possible Theoretical Explanation; 1 Formulation of the Problem; 2 Why Deep Neural Networks: Our Explanation; 3 Conclusion; References; Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multiexperts Multicriteria Decision Making; 1 Introduction; 2 Preliminary Notions; 2.1 Multicriteria Decision Making (MCDM); 2.2 Argumentation Frameworks; 3 Proposed Model for MEMCDM Using Argumentation Frameworks; 3.1 Arguments; 3.2 Attacks; 4 A Simple Example; 4.1 Towards Decision Making; 5 Conclusion and Future Work
 1 Need for Range Estimation Under Constraints2 Known Results: Brief Reminder; 3 New Result: Discontinuity Is the only Obstacle to Computing underlineY and overlineY; References; Towards a Physically Meaningful Definition of Computable Discontinuous and Multivalued Functions (Constraints); 1 Formulation of the Problem; 2 Towards a New Definition of Computable Discontinuous and Multivalued Functions; 3 Properties of the New Definition; References; Algebraic Product is the only Tnorm for Which Optimization Under Fuzzy Constraints is ScaleInvariant; 1 Formulation of the Problem
 2 Main ResultsReferences; Comparing Operation Points in Linear Programming with Fuzzy Constraints; 1 Introduction; 2 The Fuzzy Linear Programming Model; 3 Concepts of Optimality Under Fuzzy Uncertainty; 3.1 Fuzzy Global Optimal Solution; 4 Ranking a Crisp Solution; 4.1 Operation Points; 4.2 Application Example; 5 Concluding Remarks; References; On Modeling Multiexperts Multicriteria DecisionMaking Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered; 1 Introduction; 2 Conceptualizing Disagreement Among Experts as Disagreement Among Epistemic Peers
 3 Expert Disagreement: Epistemic and Pragmatic Rationality3.1 Epistemic Rationality: A More Subtle Focus of Disagreement on Epistemic Justification; 3.2 Pragmatic Rationality; 3.3 Synchronic and Diachronic Rationality, Global and Local; 4 Computational Modeling: Descriptive Constraints for Epistemic and Pragmatic Disagreements; 5 Preliminary Notions About Argumentation Frameworks and MEMCDM; 5.1 Arguments; 5.2 Attacks; 6 How Epistemic and Pragmatic Disagreements Can Help MEMCDM; 7 What's Next?; References
 Isbn
 9783319617527
 Label
 Constraint Programming and Decision Making
 Title
 Constraint Programming and Decision Making
 Language
 eng
 Summary
 This book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas. The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd'XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world. It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints
 Cataloging source
 EBLCP
 http://library.link/vocab/creatorName
 Ceberio, Martine
 Dewey number
 620
 Index
 no index present
 LC call number
 TA12040
 Literary form
 non fiction
 Nature of contents

 dictionaries
 discographies
 http://library.link/vocab/relatedWorkOrContributorName
 Kreinovich, Vladik
 Series statement
 Studies in Systems, Decision and Control
 Series volume
 v. 100
 http://library.link/vocab/subjectName

 Constraint programming (Computer science)
 Decision making
 Label
 Constraint Programming and Decision Making
 Note
 Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
 Bibliography note
 ReferencesConstraint Approach to Multiobjective Optimization; 1 Formulation of the Problem; 2 Analysis of the Problem and Two Main Ideas; References; From Global to Local Constraints: A Constructive Version of Bloch's Principle; 1 Bloch's Principle: Formulation of the Problem; 2 Bloch's Principle: General Formalization; 3 Bloch's Principle: A Constructive Version; References; Optimizing pred (25) Is NPHard; 1 Formulation of the Problem; 2 Main Result and Its Proof; References; Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Preface; References; Contents; Why Deep Neural Networks: A Possible Theoretical Explanation; 1 Formulation of the Problem; 2 Why Deep Neural Networks: Our Explanation; 3 Conclusion; References; Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multiexperts Multicriteria Decision Making; 1 Introduction; 2 Preliminary Notions; 2.1 Multicriteria Decision Making (MCDM); 2.2 Argumentation Frameworks; 3 Proposed Model for MEMCDM Using Argumentation Frameworks; 3.1 Arguments; 3.2 Attacks; 4 A Simple Example; 4.1 Towards Decision Making; 5 Conclusion and Future Work
 1 Need for Range Estimation Under Constraints2 Known Results: Brief Reminder; 3 New Result: Discontinuity Is the only Obstacle to Computing underlineY and overlineY; References; Towards a Physically Meaningful Definition of Computable Discontinuous and Multivalued Functions (Constraints); 1 Formulation of the Problem; 2 Towards a New Definition of Computable Discontinuous and Multivalued Functions; 3 Properties of the New Definition; References; Algebraic Product is the only Tnorm for Which Optimization Under Fuzzy Constraints is ScaleInvariant; 1 Formulation of the Problem
 2 Main ResultsReferences; Comparing Operation Points in Linear Programming with Fuzzy Constraints; 1 Introduction; 2 The Fuzzy Linear Programming Model; 3 Concepts of Optimality Under Fuzzy Uncertainty; 3.1 Fuzzy Global Optimal Solution; 4 Ranking a Crisp Solution; 4.1 Operation Points; 4.2 Application Example; 5 Concluding Remarks; References; On Modeling Multiexperts Multicriteria DecisionMaking Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered; 1 Introduction; 2 Conceptualizing Disagreement Among Experts as Disagreement Among Epistemic Peers
 3 Expert Disagreement: Epistemic and Pragmatic Rationality3.1 Epistemic Rationality: A More Subtle Focus of Disagreement on Epistemic Justification; 3.2 Pragmatic Rationality; 3.3 Synchronic and Diachronic Rationality, Global and Local; 4 Computational Modeling: Descriptive Constraints for Epistemic and Pragmatic Disagreements; 5 Preliminary Notions About Argumentation Frameworks and MEMCDM; 5.1 Arguments; 5.2 Attacks; 6 How Epistemic and Pragmatic Disagreements Can Help MEMCDM; 7 What's Next?; References
 Control code
 SPR1004196265
 Dimensions
 unknown
 Extent
 1 online resource (133 pages).
 Form of item
 online
 Isbn
 9783319617527
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Specific material designation
 remote
 System control number

 on1004196265
 (OCoLC)1004196265
 Label
 Constraint Programming and Decision Making
 Note
 Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
 Bibliography note
 ReferencesConstraint Approach to Multiobjective Optimization; 1 Formulation of the Problem; 2 Analysis of the Problem and Two Main Ideas; References; From Global to Local Constraints: A Constructive Version of Bloch's Principle; 1 Bloch's Principle: Formulation of the Problem; 2 Bloch's Principle: General Formalization; 3 Bloch's Principle: A Constructive Version; References; Optimizing pred (25) Is NPHard; 1 Formulation of the Problem; 2 Main Result and Its Proof; References; Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Preface; References; Contents; Why Deep Neural Networks: A Possible Theoretical Explanation; 1 Formulation of the Problem; 2 Why Deep Neural Networks: Our Explanation; 3 Conclusion; References; Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multiexperts Multicriteria Decision Making; 1 Introduction; 2 Preliminary Notions; 2.1 Multicriteria Decision Making (MCDM); 2.2 Argumentation Frameworks; 3 Proposed Model for MEMCDM Using Argumentation Frameworks; 3.1 Arguments; 3.2 Attacks; 4 A Simple Example; 4.1 Towards Decision Making; 5 Conclusion and Future Work
 1 Need for Range Estimation Under Constraints2 Known Results: Brief Reminder; 3 New Result: Discontinuity Is the only Obstacle to Computing underlineY and overlineY; References; Towards a Physically Meaningful Definition of Computable Discontinuous and Multivalued Functions (Constraints); 1 Formulation of the Problem; 2 Towards a New Definition of Computable Discontinuous and Multivalued Functions; 3 Properties of the New Definition; References; Algebraic Product is the only Tnorm for Which Optimization Under Fuzzy Constraints is ScaleInvariant; 1 Formulation of the Problem
 2 Main ResultsReferences; Comparing Operation Points in Linear Programming with Fuzzy Constraints; 1 Introduction; 2 The Fuzzy Linear Programming Model; 3 Concepts of Optimality Under Fuzzy Uncertainty; 3.1 Fuzzy Global Optimal Solution; 4 Ranking a Crisp Solution; 4.1 Operation Points; 4.2 Application Example; 5 Concluding Remarks; References; On Modeling Multiexperts Multicriteria DecisionMaking Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered; 1 Introduction; 2 Conceptualizing Disagreement Among Experts as Disagreement Among Epistemic Peers
 3 Expert Disagreement: Epistemic and Pragmatic Rationality3.1 Epistemic Rationality: A More Subtle Focus of Disagreement on Epistemic Justification; 3.2 Pragmatic Rationality; 3.3 Synchronic and Diachronic Rationality, Global and Local; 4 Computational Modeling: Descriptive Constraints for Epistemic and Pragmatic Disagreements; 5 Preliminary Notions About Argumentation Frameworks and MEMCDM; 5.1 Arguments; 5.2 Attacks; 6 How Epistemic and Pragmatic Disagreements Can Help MEMCDM; 7 What's Next?; References
 Control code
 SPR1004196265
 Dimensions
 unknown
 Extent
 1 online resource (133 pages).
 Form of item
 online
 Isbn
 9783319617527
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Specific material designation
 remote
 System control number

 on1004196265
 (OCoLC)1004196265
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