TY - BOOK ID - 14482914 TI - Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis AU - Zhang, Xiaolu. AU - Xu, Zeshui. PY - 2017 SN - 3319420011 3319420003 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Engineering. KW - Operations research. KW - Decision making. KW - Artificial intelligence. KW - Management science. KW - Computational intelligence. KW - Computational Intelligence. KW - Operations Research, Management Science. KW - Operation Research/Decision Theory. KW - Artificial Intelligence (incl. Robotics). KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Quantitative business analysis KW - Management KW - Problem solving KW - Operations research KW - Statistical decision KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management decisions KW - Choice (Psychology) KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Construction KW - Industrial arts KW - Technology KW - Decision making KW - Operations Research/Decision Theory. KW - Artificial Intelligence. KW - Fuzzy decision making. KW - Fuzzy mathematics UR - https://www.unicat.be/uniCat?func=search&query=sysid:14482914 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 -