This book offers a comprehensive and systematic introduction to the latest research on hesitant
fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions
novel hesitant fuzzy measures hesitant fuzzy hybrid weighted aggregation operators hesitant
fuzzy multiple-criteria decision-making with incomplete weights hesitant fuzzy multiple
criteria decision-making with complete weights information and the hesitant fuzzy preference
relation based decision-making theory. These methodologies are implemented in various fields
such as decision-making medical diagnosis cluster analysis service quality management
e-learning management and environmental management. A valuable resource for engineers
technicians and researchers in the fields of fuzzy mathematics operations research
information science management science and engineering it can also be used as a textbook for
postgraduate and senior undergraduate students.
