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Advances in Fuzzy Group Decision Making / by Tin-Chih Toly Chen
(SpringerBriefs in Applied Sciences and Technology. ISSN:21915318)
版 | 1st ed. 2021. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2021 |
本文言語 | 英語 |
大きさ | VI, 90 p. 53 illus., 48 illus. in color : online resource |
著者標目 | *Chen, Tin-Chih Toly author SpringerLink (Online service) |
件 名 | 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 |
一般注記 | 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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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783030862084 |
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EB00238938 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA76.9.D343 DC23:006.312 |
書誌ID | 4000140779 |
ISBN | 9783030862084 |