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

This book delivers actionable insights through 21 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.

Riassunto

This book delivers actionable insights through 21 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: Witold Pedrycz (Editore), Rosa Ma Rodríguez et al (Editore), Gilberto Rivera (Editore), Salvador Ibarra-Martínez (Editore), Gilberto Rivera-Zárate (Editore), Rosa Ma. Rodríguez (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 28.12.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
• EAN: 9783032040558
• ISBN: 978-3-0-3204055-8
• Numero di pagine: 552
• Illustrazioni: IX, 552 p. 175 illus., 132 illus. in color.
• Dimensioni (della confezione): 15.5 x 2.9 x 23.5 cm
• Peso (della confezione): 1’049 g
• Serie: Studies in Systems, Decision and Control
• Categorie: 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