5 New Fuzzy Logic Books Reshaping the Field in 2025

Drawing from extensive academic experience, Laécio Carvalho de Barros and his co-authors offer a detailed entry into fuzzy dynamical systems, blending classical theories like set theory and probability with fuzzy logic concepts. You’ll gain hands-on understanding of fuzzy derivatives, integrals, and differential equations through clear examples and exercises, especially within the biomathematics realm where p-fuzzy systems have practical applications. The second edition expands into fuzzy optimization, intriguingly applying these methods to carbon market modeling, which broadens its relevance beyond theory into environmental economics. If you’re involved in applied mathematics or engineering and want a rigorous yet approachable textbook that bridges theory with real-world modeling challenges, this book suits your needs well.

What makes this book particularly relevant is its detailed exploration of both fundamental and advanced fuzzy logic concepts applied to computer science and mathematics. The authors, a team of experts in engineering and applied mathematics, guide you through fuzzy inference systems and their role in handling uncertainty, blending probability theory with fuzzy models. You’ll find lucid explanations of neuro-fuzzy systems and evolutionary computing, supported by application-driven chapters that progress from basic to complex topics. This approach makes it suitable for applied mathematicians, computer scientists, and engineers seeking to deepen their understanding of fuzzy logic’s practical implementation across diverse fields.

This tailored book explores the forefront of fuzzy logic developments emerging in 2025, focusing on your specific interests and expertise. It delves into the latest theoretical discoveries and practical applications, revealing how contemporary research is expanding the field’s boundaries. The content addresses cutting-edge topics such as advanced fuzzy inference, novel uncertainty modeling techniques, and innovative applications in artificial intelligence and data science. By concentrating on areas that match your background and goals, this personalized volume offers a unique pathway to grasp the nuances and potentials of fuzzy logic in today’s complex systems. This tailored guide makes the evolving landscape accessible and relevant to you.

Konstantina Chrysafiadi draws on her expertise to explore how fuzzy logic enhances software systems, particularly in managing uncertainty and imprecision. You’ll learn about the core components of fuzzy logic systems—fuzzification, inference, and defuzzification—and how these processes mimic human reasoning to improve decision-making. The book delves into applications across medicine, education, automotive engineering, and more, showing how fuzzy logic integrates with AI techniques to optimize automated tasks. If you're involved in software development or research that deals with ambiguous data, this book offers concrete frameworks and case studies to deepen your understanding and application of fuzzy logic.

Drawing from decades of engineering expertise, TSOUKALAS delves into fuzzy logic not just as theory but as a practical tool reshaping artificial intelligence and big data applications. You’ll explore how fuzzy logic adapts to complex, digitized environments, from smart cities to electrified transportation, gaining insights into its role in optimizing systems like energy demand response and supply chains. The book guides you through applying fuzzy logic to emerging challenges, illustrated by real-world case studies and supported by resources like test sets and a sample syllabus. Ideal if you’re aiming to bridge theoretical knowledge with hands-on competence in AI and big data fields.

Drawing from expertise in artificial intelligence and geotechnical risk, José Antônio Lima Santos and Lorena Oliveira explore how fuzzy logic can sharpen landslide predictions in Teófilo Otoni. This book delves into applying uncertainty-based reasoning to assess slope stability, blending AI methods with real-world civil defense needs. You’ll find insightful discussions on how fuzzy logic models handle ambiguous data better than traditional binary approaches, especially in environmental risk contexts. If your work involves disaster mitigation, environmental engineering, or AI applications in geosciences, this concise study offers concrete frameworks and case analyses that clarify fuzzy logic's practical value.

This tailored book explores the evolving landscape of fuzzy logic through a lens focused on your unique interests and expertise. It reveals the latest discoveries and challenges emerging in 2025, providing an engaging examination of how fuzzy logic adapts to complex, uncertain environments. By matching the content to your background and goals, it delves deeply into strategic approaches, emerging research, and practical applications that matter most to you. This personalized journey unlocks a forward-looking view, helping you navigate fuzzy logic’s future with clarity and confidence, all through a curated blend of foundational concepts and cutting-edge innovation.