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Нечеткие модели анализа данных и принятия решений
The textbook covers the basic parts of fuzzy set theory as fuzzy relations, fuzzy numbers, fuzzy logical inference, and applications of fuzzy mathematics to data analysis (fuzzy regression, fuzzy clustering, fuzzy classification) and decision making (fuzzy optimization, multicriteria decisions based on fuzzy data, fuzzy data ranking, fuzzy modeling). Each chapter ends with a section of tasks for self-solution. Therefore, this tutorial can be used not only as a textbook, but also as a problem book in seminars or for self-study. The book is addressed to students enrolled in educational programs related to data analysis and decision-making (“Applied Mathematics and Informatics”, “Economics”, “Economics and Statistics”, “Business Informatics”, etc.). This textbook will be also useful to graduate students and teachers of educational programs, both directly related to data analysis, and using data analysis and decision making in their studies on business informatics, economics, financial analysis, political science, etc.