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<p class="MsoNormal" style="margin-bottom: .0001pt; text-align: justify; line-height: normal; mso-layout-grid-align: none; text-autospace: none;"><span lang="EN-US" style="mso-ansi-language: EN-US;">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.</span></p>

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Decision-Making in Computational Intelligence-Based Systems

  • 书籍

  • 发表日期：

    2026年

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摘要

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.