Overview
- Collects and consolidates innovative and high-quality research contributions regarding Enterprise Decision-Making applying Artificial Intelligence Techniques
- Provides insights on the recent advances in Enterprise Decision-Making Applying Artificial Intelligence Techniques
- Includes theoretical foundations, models, experimental research, and case studies for developing Intelligent Systems for Enterprise Decision-Making
Part of the book series: Studies in Computational Intelligence (SCI, volume 966)
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Table of contents (21 chapters)
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Artificial Intelligence Techniques
Keywords
About this book
This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others.
This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.Editors and Affiliations
Bibliographic Information
Book Title: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques
Editors: Julian Andres Zapata-Cortes, Giner Alor-Hernández, Cuauhtémoc Sánchez-Ramírez, Jorge Luis García-Alcaraz
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-71115-3
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 2021
Hardcover ISBN: 978-3-030-71114-6Published: 08 June 2021
Softcover ISBN: 978-3-030-71117-7Published: 09 June 2022
eBook ISBN: 978-3-030-71115-3Published: 07 June 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXXVIII, 508
Number of Illustrations: 49 b/w illustrations, 180 illustrations in colour