Overview
- Combines different computational intelligence techniques and their application in a wide range of knowledge areas
- Promotes the application of computational intelligence in multiple areas of human development
- Recognizes neutrosophic sets as one of the approaches that extend the application capacity of fuzzy logic
Part of the book series: Studies in Computational Intelligence (SCI, volume 1195)
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About this book
This book is dedicated to all those interested in the application of computational intelligence techniques for decision-making in uncertain environments. The book is organized into four parts. The first part groups together four works related to conversational systems and decision-making using generative artificial intelligence. The second part includes four articles associated with decision-making in project-oriented environments. The third part includes three works related to decision-making in human health environments and decision-making in sports training. The fourth part of the book contains three articles associated with business decision-making.
This book combines different artificial intelligence techniques for solving decision-making problems, among which the following stand out: generative artificial intelligence, linguistic data summarization techniques, neutrosophic theory, computing with words, among other techniques. The techniques proposed in the book aim to simulate human tolerance in decision-making processes in environments with uncertainty and imprecision.
The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Pedro Y. Piñero Pérez, Iliana Pérez Pupo, Janusz Kacprzyk, and Rafael E. Bello Pérez have published several books associated with artificial intelligence and applied computational intelligence. They continue to work on fundamental and applied research on different artificial intelligence techniques to assist decision-making in different areas of knowledge.
The authors thank all the engineers, professors, and researchers without whose efforts this book could not have been written.
Keywords
Table of contents (14 chapters)
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Front Matter
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Decision-Making Assisted by Generative Artificial Intelligence
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Front Matter
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Computational Intelligence for Decision-Making in Project Management Environments
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Front Matter
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Assisted Decision-Making in Environments with Uncertainty Associated with Sport and Health
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Front Matter
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Managing Uncertainty in Business Decision-Making
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence Applied to Decision-Making in Uncertain Environments
Editors: Pedro Yobanis Piñero Pérez, Iliana Pérez Pupo, Janusz Kacprzyk, Rafael Esteban Bello Pérez
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-83643-5
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 2025
Hardcover ISBN: 978-3-031-83642-8Published: 25 March 2025
Softcover ISBN: 978-3-031-83645-9Due: 08 April 2026
eBook ISBN: 978-3-031-83643-5Published: 24 March 2025
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 427
Number of Illustrations: 27 b/w illustrations, 146 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Artificial Intelligence