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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.
Autorius: | Zeshui Xu, Huchang Liao, |
Serija: | Uncertainty and Operations Research |
Leidėjas: | Springer Nature Singapore |
Išleidimo metai: | 2017 |
Knygos puslapių skaičius: | 292 |
ISBN-10: | 9811032645 |
ISBN-13: | 9789811032646 |
Formatas: | 241 x 160 x 22 mm. Knyga kietu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Hesitant Fuzzy Decision Making Methodologies and Applications“