Hesitant Fuzzy Decision Making Methodologies and Applications

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The book provides an in-depth exploration of hesitant fuzzy decision-making theory, structured into six comprehensive sections. It covers topics like hesitant fuzzy sets, novel measures, and hybrid aggregation operators, as well as applications in diverse fields such as medical diagnosis, service quality management, and e-learning. Aimed at engineers, technicians, and researchers, it serves as both a valuable resource and a textbook for advanced students in fuzzy mathematics and related disciplines.