TY - GEN digital ID - 131688183 TI - Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis AU - Zhang, Xiaolu AU - Xu, Zeshui PY - 2017 SN - 9783319420011 PB - Cham Springer International Publishing DB - UniCat KW - Operational research. Game theory KW - Mathematical statistics KW - Applied physical engineering KW - Planning (firm) KW - Artificial intelligence. Robotics. Simulation. Graphics KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - mathematische modellen KW - speltheorie KW - econometrie KW - KI (kunstmatige intelligentie) KW - operationeel onderzoek KW - ingenieurswetenschappen UR - https://www.unicat.be/uniCat?func=search&query=sysid:131688183 AB - The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. . ER -