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＜E-Book＞
Advances in Fuzzy Group Decision Making / by Tin-Chih Toly Chen
(SpringerBriefs in Applied Sciences and Technology. ISSN:21915318)

Edition	1st ed. 2021.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2021
Language	English
Size	VI, 90 p. 53 illus., 48 illus. in color : online resource
Authors	*Chen, Tin-Chih Toly author SpringerLink (Online service)
Subjects	LCSH:Data mining LCSH:Computational intelligence LCSH:Artificial intelligence LCSH:Industrial Management FREE:Data Mining and Knowledge Discovery FREE:Computational Intelligence FREE:Artificial Intelligence FREE:Industrial Management
Notes	Chapter 1. Introduction to Fuzzy Group Decision Making -- Chapter 2. Fuzzy Group Decision-making Methods -- Chapter 3. Deriving the Priorities of Criteria -- Chapter 4. Consensus Measurement and Enhancement -- Chapter 5. Aggregation Mechanisms This book is focused on fuzzy group decision making, offering technical details including methodology, collaboration and aggregation mechanisms, system architectures, and applications. It explores the two categories of fuzzy-group decision making - anterior-aggregation and posterior-aggregation – and highlights how imperative collaboration amongst decision makers is for both forms. Advances in Fuzzy Group Decision Making will be of interest to researchers in decision making, artificial intelligence, soft computing, operations management, and information management, as well as practicing managers and engineers HTTP:URL=https://doi.org/10.1007/978-3-030-86208-4

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