Fuzzy models of data analysis and decision -making. Armenian A.G., Lepsky A.E.

The training manual discusses such the main sections of the theory of fuzzy sets as fuzzy relationships, fuzzy numbers, fuzzy logical conclusion, as well as applied sections related to the use of fuzzy mathematics in data analysis (fuzzy regression, fuzzy clustering, fuzzy classification) and acceptance) and acceptance) Decisions (fuzzy optimization, multicriterial methods of making decisions with fuzzy data, ranking of fuzzy data, fuzzy modeling).

Each chapter ends with a section of problems for an independent solution. Therefore, this manual can be used not only as a textbook, but also as a task for seminar classes or for independent training.

The textbook is addressed to students studying in educational programs related to data analysis and decision -making (“Applied Mathematics and computer science ”,“ Economics ”,“ Economics and Statistics ”,“ Business Informatics ”, etc.). The book will also be useful to graduate students and teachers of educational programs, both directly related to the analysis of data and using the analysis of data and making decisions in their research, business information, economists, financial analysts, political scientists, etc.