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商品詳細
Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications. 2020 ed.
・ISBN 978-3-030-22573-5 paper EUR 49.99
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お気に入り
★★★
| 著者・編者 | Chen, Tin-Chih Toly / Honda, Katsuhiro, |
|---|---|
| シリーズ | (SpringerBriefs in Applied Sciences and Technology) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2019 |
| ページ数 | 89 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-62080> |
解説
This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.