Kruglov’s book Fuzzy Logic and Artificial Neural Networks is a fascinating and deep dive into the world of modern technologies that change our understanding of computation and decision-making. In this work, the author masterfully combines the theoretical foundations of fuzzy logic and practical aspects of working with artificial neural networks, creating a unique synthesis that will be of interest to both specialists and amateurs. In the pages of the book, Kruglov explores how fuzzy logic based on the principles of uncertainty can be effectively used to create and train neural networks. This is especially true in circumstances where data is often incomplete or contradictory. The author shares his observations and conclusions, emphasizing that traditional binary approaches can not always cope with real problems, where there are many factors and uncertainties. The reader will be able to see how fuzzy logic helps to model complex systems and make more informed decisions. The book will be interesting to a wide range of readers .. Students and graduate students of technical specialties, researchers in the field of artificial intelligence, as well as practitioners in the field of IT and related disciplines will find a lot of useful information in it. It is also suitable for those who are interested in modern technologies and want to understand how they work in practice. If you’ve ever wondered how machines make decisions, or want to learn how algorithms can be improved with fuzzy logic, this book will be a real find for you. The topics raised in the book cover a wide range of issues, ranging from the basics of fuzzy logic to complex neural network models. Kruglov not only explains the theoretical aspects, but also offers practical examples that make the material more accessible and understandable. He emphasizes the importance of integrating different approaches in the development of intelligent systems, which makes the book relevant in the light of current trends in artificial intelligence. Kruglov's style is distinguished by clarity and logical presentation. He is able to explain complex concepts in a simple and accessible language, which makes his work ideal for readers with different levels of training. Kruglov is the author of several other books and articles on artificial intelligence and computational methods, which confirms his deep knowledge and experience in this field. If you are looking for a book that will not only expand your knowledge of fuzzy logic and neural networks, but also inspire new ideas and projects, Fuzzy Logic and Artificial Neural Networks will be an excellent choice. It will help you not only to understand the theory, but also to apply the knowledge gained in practice, opening up new horizons in the world of technology. Do not miss the opportunity to get acquainted with this unique work, which will become your reliable companion in the study of artificial intelligence and modern computational methods. Kruglov’s book is not just a textbook, but a real find for everyone who aspires to be at the forefront of technology and scientific discoveries.