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Record Nr. |
UNINA9911047796903321 |
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Autore |
Pedrycz Witold |
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Titolo |
Decision-Making in Computational Intelligence-Based Systems : New Approaches, Methods, and Applications / / edited by Witold Pedrycz, Gilberto Rivera, Rosa Ma. Rodríguez, Salvador Ibarra-Martínez |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (716 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 628 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering mathematics |
Engineering - Data processing |
Human-machine systems |
Computational Intelligence |
Mathematical and Computational Engineering Applications |
Human-Machine Interfaces |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Using Shapley Additive Explanations for supporting individual and group recommendation: survey and new perspectives -- A P-based multiple criteria ordinal classification method where classes are described by subsets of “non-central” profiles -- A Framework of Targeted Marketing Based on the Outranking Approach -- SINDy meets Schelling. Transforming Agent-Based model spatial outputs into Dynamical Systems -- Optimizing Electric Vehicle Routes: A Hybrid Approach of Genetic Algorithm with Q-Learning -- Enhancing Clinical Decision-Making: An Integrated Approach Using ISPS and KMoS-SSA Framework -- New Rainfall Missing Values Estimation Proposal: Normal Ratio with Additive Correlation. |
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Sommario/riassunto |
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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 |
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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. |
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