Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 345
Release date:	October 2016
First published:	2017
Authors:	Xiaolu Zhang • Zeshui Xu
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	191
Edition:	1st ed. 2017
ISBN-13:	978-3-319-42000-4
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-42000-3
Barcode:	9783319420004

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