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Constraint Programming and Decision Making: Theory and Applications

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Cover of 'Constraint Programming and Decision Making: Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Why Deep Neural Networks: A Possible Theoretical Explanation
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    Chapter 2 Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making
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    Chapter 3 Constraint Approach to Multi-objective Optimization
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    Chapter 4 From Global to Local Constraints: A Constructive Version of Bloch’s Principle
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    Chapter 5 Optimizing pred(25) Is NP-Hard
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    Chapter 6 Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity
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    Chapter 7 Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (Constraints)
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    Chapter 8 Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant
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    Chapter 9 Comparing Operation Points in Linear Programming with Fuzzy Constraints
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    Chapter 10 On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered
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    Chapter 11 Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
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    Chapter 12 Automatic Loop-Shaping of $${H_\infty }$$ / $$\mu $$ Problem in QFT Using Interval Consistency Based Hybrid Optimization
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    Chapter 13 Existence of the Nash-Optimal Strategies in the Meta-Game
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    Chapter 14 Peak-End Rule: A Utility-Based Explanation
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    Chapter 15 Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint
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    Chapter 16 Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When can we Determine the Accuracies from These Constraints?
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    Chapter 17 Dow Theory’s Peak-and-Trough Analysis Justified
Attention for Chapter 8: Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant
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Chapter title
Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant
Chapter number 8
Book title
Constraint Programming and Decision Making: Theory and Applications
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-61753-4_8
Book ISBNs
978-3-31-961752-7, 978-3-31-961753-4
Authors

Juan Carlos Figueroa-García, Martine Ceberio, Vladik Kreinovich, Figueroa-García, Juan Carlos, Ceberio, Martine, Kreinovich, Vladik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Other 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%