The book "Processing fuzzy information in decision-making systems" by Borisov A. N. and his colleagues is a fascinating and in-depth study that opens up new horizons in the field of decision-making based on fuzzy data. In today's world, where information is often uncertain and contradictory, the ability to effectively process such data is becoming an important skill for both professionals and researchers. The book discusses key concepts and methods associated with fuzzy logic that allows you to work with the uncertainty and inaccuracy of information. The authors offer readers a unique perspective on how fuzzy systems can be applied in a variety of fields, from economics to engineering, and even in the social sphere. This makes the book particularly relevant for professionals working in areas where decision-making is critical. Who can like this edition? First of all, the book will be of interest to students and graduate students studying mathematics, computer science and related disciplines . It will also be useful to practitioners in data analysis, management, and systems design who seek to improve their decision-making skills. In addition, the book will attract the attention of researchers working on projects related to artificial intelligence and machine learning, where fuzzy data play a significant role. The themes raised in the book are diverse and multi-faceted. The authors discuss how fuzzy information can affect the quality of decisions, as well as suggest methods for its processing and analysis. They emphasize the importance of taking uncertainty into account in different scenarios, making the book a useful resource for anyone seeking to improve the efficiency of their decisions. In a rapidly changing world, where data is becoming increasingly complex and layered, the ability to work with fuzzy information becomes not just useful, but necessary. The style of Borisov and his co-authors is distinguished by clarity and accessibility, which makes complex concepts understandable even for those who are just beginning to get acquainted with the topic. The book is filled with examples, illustrations and practical tasks that help readers better absorb the material. This makes reading not only informative, but also a fascinating process. In addition to "Processing fuzzy information in decision-making systems", Borisov A. N. is the author and co-author of a number of other works devoted to mathematical methods and their application in various fields. These works are also noteworthy and can be a great addition to the study of fuzzy logic and decision-making. If you are looking for a book that will help you understand the intricacies of processing fuzzy information and teach you how to apply this knowledge in practice, then “Processing fuzzy information in decision-making systems” will be a real find for you. Not only will it broaden your horizons, but it will equip you with the tools you need to make successful decisions under uncertainty. Do not miss the opportunity to immerse yourself in the world of fuzzy logic and discover new approaches to data analysis and decision-making.