Hesitant Fuzzy Decision Making Methodologies and Applications (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Uncertainty and Operations Research
Release date:	December 2016
First published:	2017
Authors:	Huchang Liao • Zeshui Xu
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	275
Edition:	1st ed. 2017
ISBN-13:	978-981-10-3264-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Reference & Interdisciplinary > Communication studies > Decision theory > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	981-10-3264-5
Barcode:	9789811032646

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