Overview
- Presents recent trends and challenges in intelligent decision support systems
- Presents theoretical foundations, models, experiments, and case studies for intelligent systems decision-making
- Written by experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 226)
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About this book
This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others.
The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.
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Keywords
Table of contents (19 chapters)
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Methods and Techniques
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Cases of Study
Editors and Affiliations
Bibliographic Information
Book Title: Handbook on Decision Making
Book Subtitle: Volume 3: Trends and Challenges in Intelligent Decision Support Systems
Editors: Julian Andres Zapata-Cortes, Cuauhtémoc Sánchez-Ramírez, Giner Alor-Hernández, Jorge Luis García-Alcaraz
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-08246-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-08245-0Published: 27 September 2022
Softcover ISBN: 978-3-031-08248-1Published: 28 September 2023
eBook ISBN: 978-3-031-08246-7Published: 26 September 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXVII, 457
Number of Illustrations: 52 b/w illustrations, 130 illustrations in colour