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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.
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.
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