| Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications 2020 Edition Contributor(s): Chen, Tin-Chih Toly (Author), Honda, Katsuhiro (Author) |
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ISBN: 3030225739 ISBN-13: 9783030225735 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: June 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Databases - Data Mining - Science | System Theory |
| Dewey: 003.3 |
| Series: Springerbriefs in Applied Sciences and Technology |
| Physical Information: 0.21" H x 6.14" W x 9.21" (0.33 lbs) 89 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |