| 書目名稱 | Fuzzy Collaborative Forecasting and Clustering | | 副標(biāo)題 | Methodology, System | | 編輯 | Tin-Chih Toly Chen,Katsuhiro Honda | | 視頻video | http://file.papertrans.cn/352/351180/351180.mp4 | | 概述 | Introduces and explores fuzzy collaborative intelligence and systems.Contains case study examples and software that demonstrate the methods discussed in practical situations.Useful as a teaching text | | 叢書名稱 | SpringerBriefs in Applied Sciences and Technology | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Fuzzy Collaborative Intelligence; Forecasting; Clustering; Applied Soft Computing; Big Data Analysis; Fuz | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-22574-2 | | isbn_softcover | 978-3-030-22573-5 | | isbn_ebook | 978-3-030-22574-2Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 |
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