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200 10$aAdvances in Fuzzy Group Decision Making /$fby Tin-Chih Toly Chen
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (94 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-5318
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327   $aChapter 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.
330   $aThis 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.
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606   $aData mining
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aIndustrial management
606   $aData Mining and Knowledge Discovery
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aIndustrial Management
615  0$aData mining.
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aIndustrial management.
615 14$aData Mining and Knowledge Discovery.
615 24$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aIndustrial Management.
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