Ceberio, Martine
Constraint Programming and Decision Making: Theory and Applications
1. Why Deep Neural Networks: A Possible Theoretical Explanation
Chitta Baral, Olac Fuentes, Vladik Kreinovich
2. Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making
Stefano Bistarelli, Martine Ceberio, Joel A. Henderson, Francesco Santini
3. Constraint Approach to Multi-objective Optimization
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
4. From Global to Local Constraints: A Constructive Version of Bloch’s Principle
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
5. Optimizing pred(25) Is NP-Hard
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
6. Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
7. Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (Constraints)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
8. Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant
Juan Carlos Figueroa-García, Martine Ceberio, Vladik Kreinovich
9. Comparing Operation Points in Linear Programming with Fuzzy Constraints
Juan Carlos Figueroa-García, Germán Hernández-Pérez, Dusko Kalenatic
10. On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered
Luciana Garbayo, Martine Ceberio, Stefano Bistarelli, Joel Henderson
11. Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix
Milan Hladík
12. Automatic Loop-Shaping of 13. Existence of the Nash-Optimal Strategies in the Meta-Game 14. Peak-End Rule: A Utility-Based Explanation 15. Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint 16. Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When can we Determine the Accuracies from These Constraints? 17. Dow Theory’s Peak-and-Trough Analysis Justified Avainsanat: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics)
Vyacheslav V. Kalashnikov, Vladimir A. Bulavsky, Nataliya I. Kalashnykova
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Joe Lorkowski, Martin Trnecka
Christian Servin, Vladik Kreinovich
Chrysostomos D. Stylios, Vladik Kreinovich
- Toimittaja
- Ceberio, Martine
- Kreinovich, Vladik
- Julkaisija
- Springer
- Julkaisuvuosi
- 2018
- Kieli
- en
- Painos
- 1
- Sarja
- Studies in Systems, Decision and Control
- Sivumäärä
- 12 sivua
- Kategoria
- Tekniikka, energia, liikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319617534
- Painetun ISBN
- 978-3-319-61752-7