Decision-Making in Computational Intelligence-Based Systems

New Approaches, Methods, and Applications
Herausgeber: Pedrycz, Witold; Ibarra-Martínez, Salvador; Rodríguez, Rosa Ma.; Rivera-Zárate, Gilberto

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Systems, Decision and Control Nr.628
• Verlag: Springer International Publishing AG / Springer-Verlag GmbH
• Artikelnr. des Verlages: 89531327
• Erscheinungstermin: 9. November 2025
• Englisch
• ISBN-13: 9783032040558
• ISBN-10: 3032040558
• Artikelnr.: 74989466

Inhaltsangabe

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.