Decision-Making in Computational Intelligence-Based Systems - New Approaches, Methods, and Applications

This book delivers actionable insights through 22 peer-reviewed chapters featuring new methods, models, and applications based on computational intelligence. Discover cutting-edge tools to support smart, efficient decision-making in complex, real-world scenarios. Organized into three parts prescriptive analytics, soft computing models, and practical case studies it spans domains such as healthcare, energy, mobility, finance, and public services. Readers will find innovative approaches using fuzzy logic, machine learning, optimization, and hybrid systems. Ideal for researchers, practitioners, and graduate students, this book offers practical solutions for modern decision challenges across industries.

Sommario

1.Using Shapley Additive Explanations for supporting individual and group recommendation: survey and new perspectives.- 2.A P-based multiple criteria ordinal classification method where classes are described by subsets of non-central profiles.- 3.A Framework of Targeted Marketing Based on the Outranking Approach.- 4.SINDy meets Schelling. Transforming Agent-Based model spatial outputs into Dynamical Systems.- 5.Optimizing Electric Vehicle Routes: A Hybrid Approach of Genetic Algorithm with Q-Learning.- 21.Enhancing Clinical Decision-Making: An Integrated Approach Using ISPS and KMoS-SSA Framework.- 22.New Rainfall Missing Values Estimation Proposal: Normal Ratio with Additive Correlation.

Riassunto

This book delivers actionable insights through 22 peer-reviewed chapters featuring new methods, models, and applications based on computational intelligence. Discover cutting-edge tools to support smart, efficient decision-making in complex, real-world scenarios. Organized into three parts—prescriptive analytics, soft computing models, and practical case studies—it spans domains such as healthcare, energy, mobility, finance, and public services. Readers will find innovative approaches using fuzzy logic, machine learning, optimization, and hybrid systems. Ideal for researchers, practitioners, and graduate students, this book offers practical solutions for modern decision challenges across industries.

Dettagli sul prodotto

• Con la collaborazione di: Salvador Ibarra-Martínez (Editore), Rosa Ma Rodríguez et al (Editore), Witold Pedrycz (Editore), Gilberto Rivera (Editore), Gilberto Rivera-Zárate (Editore), Rosa Ma. Rodríguez (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 14.11.2025
• EAN: 9783032040558
• ISBN: 978-3-0-3204055-8
• Pagine: 610
• Illustrazioni: X, 610 p. 172 illus., 133 illus. in color.
• Serie: Studies in Systems, Decision and Control
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; Elektronik, Data Science, machine learning, Deep Learning, Mensch-Computer-Interaktion, Mathematik für Ingenieure, Computational Intelligence, Mathematical and Computational Engineering Applications, Human-Machine Interfaces, Artificial Neural Networks, Big Data Environments, Metaheuristic Algorithms, Multi-criteria decision making, Augmented Analytics