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.

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 for graduate students and a guide for professionals

Autorentext

Dr. Chen has published papers on job scheduling in semiconductor manufacturing factories in journals such as Expert Systems and Applications, Neural Computing and Applications, International Journal of Advanced Manufacturing Technology, Journal of Intelligent Manufacturing, and Computers and Industrial Engineering. He also authored a book entitled "Production Planning and Control in Semiconductor Manufacturing: Big Data Analytics and Industry 4.0 Applications" for Springer in 2022. He has guest edited several special issues on job scheduling in large-scale manufacturing systems and just-in-time manufacturing and maintenance for journals including Operations Research, International Journal of Intelligent Systems, and International Journal of Advanced Manufacturing Technology. In 2023, he authored a book entitled "Explainable Artificial Intelligence in Manufacturing: Methodology, Tools, and Applications" for Springer.

Klappentext

Inhalt
Fuzzy Collaborative Intelligence and Systems.- Linear Fuzzy Collaborative Forecasting Methods.- Nonlinear Fuzzy Collaborative Forecasting Methods.- Fuzzy Co-clustering.- Collaborative Framework for Fuzzy Co-clustering.- Three-mode Fuzzy Co-clustering.- Collaborative Framework for Three-mode Fuzzy Co-clustering.