Fuzzy Collaborative Forecasting and Clustering

Methodology, System Architecture, and Applications
1. Auflage 2020
ISBN: 978-3-030-22573-5
Verlag: Springer Nature Switzerland

Buch, Englisch, 89 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 166 g

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Honda, Katsuhiro

Chen, Tin-Chih Toly

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Naturwissenschaften Physik Angewandte Physik Soziophysik, Wirtschaftsphysik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.

Katsuhiro Honda received the B.E., M.E. and D.Eng. Degrees in industrial engineering from Osaka Prefecture University, Osaka, Japan, in 1997,1999 and 2004, respectively. From 1999 to 2013, he was a Research Associate, Assistant Professor and Associate Professor at Osaka Prefecture University, where he is a Professor in the Department of Computer Sciences and Intelligent Systems. His research interests include hybrid techniques of fuzzy clustering and multivariate analysis, data mining with fuzzy data analysis and neural networks. He has published over 80 papers in refereed journals and has presented over 200 papers in refereed international conferences. He received the best paper awards at FUZZ-IEEE 2008 and SCIS&ISIS2016, publication award and paper awards from Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) in 2010 and 2002, 2011 and 2012, respectively. He has been the associateeditor or guest editor of International Journal of Knowledge Engineering and Soft Data Paradigms, Advances in Fuzzy Systems, Mathematical Problems in Engineering and Applied Spatial Analysis and Policy.