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Computational intelligence applied to decision-making in uncertain environments

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence applied to decision-making in uncertain environmentsedited by Pedro Yobanis Piñero Pérez ... [et al.].
other author:	Piñero Pérez, Pedro Y.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xi, 427 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Decision makingData processing.
Online resource:	https://doi.org/10.1007/978-3-031-83643-5
ISBN:	9783031836435$q(electronic bk.)

Computational intelligence applied to decision-making in uncertain environments
Computational intelligence applied to decision-making in uncertain environments[electronic resource] /edited by Pedro Yobanis Piñero Pérez ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 427 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 11951860-9503 ;. - Studies in computational intelligence ;v. 216..

Decision making assisted by generative artificial intelligence -- Characterization of SLM conversational systems models, overview -- Classification with Low Level Fuzzy Cognitive Maps -- Method for Revenue Assurance and Financial Fraud Alerting Supported by LDS Techniques -- Ecosystem IADESCom for conversational system construction -- Computational intelligence for decision making in project management environments -- A Efficient Model for Startups Creation with Low Risk and Uncertainty, Study Cases in IADES -- Decision Making in Artificial Intelligence Training Programs -- Platform for Project Management IADESPro, Supported by Artificial Intelligence -- Model for the Creation and Decision Making in Project Management Offices (PMO) -- Assisted decision making in environments with uncertainty associated with sport and health -- Sport Customized Training Plan Assisted by Linguistic Data Summarization -- Differentiation of stroke type by supervised classification -- Sports Talent by Combining Computing With Word and Neutrosophic Theory -- Managing uncertainty in business decision-making -- Measurement of perceived quality in conversational systems (chatbots) -- Extension of the similarity quality measure for Multi Target Prediction problems -- Framework for strategic planning and assisted by Artificial Intelligence.

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.

ISBN: 9783031836435$q(electronic bk.)

Standard No.: 10.1007/978-3-031-83643-5doiSubjects--Topical Terms:

235779
Decision making
--Data processing.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403028563

Computational intelligence applied to decision-making in uncertain environments
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520 $a 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.
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