Liao, Huchang.     Hesitant Fuzzy Decision Making Methodologies and Applications [[electronic resource] /] : монография / Huchang. Liao, Xu, Zeshui. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XIII, 275 p. 19 illus., 8 illus. in color. - Б. ц.     Зміст: Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation. Рубрики: Operations research.    Decision making.    Computational intelligence.    Operating systems (Computers).    Operations Research/Decision Theory.    Computational Intelligence.    Operating Systems. Анотація: 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. Перейти: https://doi.org/10.1007/978-981-10-3265-3 Дод.точки доступу: Xu, Zeshui.; Liao, Huchang. \.\; SpringerLink (Online service) Свободных экз. нет