Hesitant Fuzzy Decision Making Methodologies and Applications.

• Main Author: Liao, Huchang
• Other Authors: Xu, Zeshui
• Format: Electronic eBook
• Language: English
• Published: [Place of publication not identified] : Springer Science and Business Media : Springer, 2016.
• Series: Uncertainty and operations research.
• Subjects: Business.; Operations research.; Decision making.; Operating systems.; Computational intelligence.; elektronické knihy; electronic books
• ISBN: 9789811032653; 9789811032646
• Physical Description: 1 online resource
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.