Decision making under contraints / Martine Ceberio, Vladik Kreinovich, editors.
2020
QA76.612
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Details
Title
Decision making under contraints / Martine Ceberio, Vladik Kreinovich, editors.
ISBN
9783030408145 (electronic book)
3030408140 (electronic book)
3030408132
9783030408138
3030408140 (electronic book)
3030408132
9783030408138
Published
Cham : Springer, [2020]
Copyright
©2020
Language
English
Description
1 online resource.
Call Number
QA76.612
Dewey Decimal Classification
005.1/1
Summary
This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018. The papers address all stages of decision-making under constraints: (1) precisely formulating the problem of multi-criteria decision-making; (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible; and (4) taking into account interval, probabilistic, and fuzzy uncertainty inherent in the corresponding decision-making problems. In many application areas, it is necessary to make effective decisions under constraints, and there are several area-specific techniques for such decision problems. However, because they are area-specific, it is not easy to apply these techniques in other application areas. As such, the annual International Workshops on Constraint Programming and Decision Making focus on cross-fertilization between different areas, attracting researchers and practitioners from around the globe. The book includes numerous papers describing applications, in particular, applications to engineering, such as control of unmanned aerial vehicles, and vehicle protection against improvised explosion devices.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 10, 2020).
Added Author
Ceberio, Martine, editor.
Kreinovich, Vladik, editor.
Kreinovich, Vladik, editor.
Added Meeting Name
International Workshops on Constraint Programming and Decision Making.
Series
Studies in systems, decision and control ; v. 276.
Available in Other Form
Print version: 9783030408138
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Table of Contents
Fuzzy Systems Are Universal Approximators for Random Dependencies:A Simplified Proof
How Quantum Computing Can Help With (Continuous) Optimization
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints
Fuzzy Primeness in Quantales
Collective Defense and Possible Relaxations in Weighted Abstract Argumentation Problems
Modeling and Specification of Nondeterministic Fuzzy Discrete-Event Systems.
How Quantum Computing Can Help With (Continuous) Optimization
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints
Fuzzy Primeness in Quantales
Collective Defense and Possible Relaxations in Weighted Abstract Argumentation Problems
Modeling and Specification of Nondeterministic Fuzzy Discrete-Event Systems.