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.
| ISBN: | 9783030225735 |
| Publication date: | 27th June 2019 |
| Author: | TinChih Toly Chen, Katsuhiro Honda |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 89 pages |
| Series: | SpringerBriefs in Applied Sciences and Technology |
| Genres: |
Artificial intelligence Expert systems / knowledge-based systems Cybernetics and systems theory Management decision making Operational research Data mining Computer modelling and simulation |