Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (SpringerBriefs in Applied Sciences and Technology)

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.

Tin-Chih Toly Chen received the Ph. D. degree in industrial engineering from National Tsin Hua University. He is now a Distinguished Professor in the Department of Industrial Engineering and Management at National Chiao Tung University. His research interests include fuzzy and neural computing, competitiveness analysis, cloud manufacturing, operations research, semiconductor manufacturing, and ambient intelligence. Dr. Chen has published over one hundred papers in refereed journals, and is the recipient of several research and paper awards. Dr. Chen is the founding editor of International Journal of Fuzzy System Applications and the founding president of Ambient Intelligence Association of Taiwan. He has been the editor or guest editor of journals including Fuzzy Sets and Systems, Journal of Intelligent Manufacturing, International Journal of Advanced Manufacturing Technology, International Journal of Technology Management, Robotics and Computer-Integrated Manufacturing, and International Journal of Intelligent Systems.