Fuzzy Collaborative Forecasting and Clustering

Methodology, System Architecture, and Applications

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Springer


Paru le : 2019-06-14



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Description
Cet ouvrage présente les concepts de base de la prévision et de la mise en grappes collaboratives floues, y compris sa méthodologie, son architecture système et ses applications. Il montre comment le traitement de sources de données disparates devient de plus en plus populaire en raison de la diffusion croissante des applications Internet. L'ouvrage propose les concepts d'intelligence informatique collaborative et de modélisation floue collaborative, et établit plusieurs systèmes collaboratifs dits flous. Il montre comment les contraintes techniques, les questions de sécurité et les considérations de confidentialité limitent souvent l'accès à certaines sources. Ce livre est une source d'information précieuse pour les étudiants de troisième cycle, les chercheurs et les concepteurs de systèmes de contrôle flous, car il présente une approche floue très efficace qui peut traiter de sources de données disparates, de grandes données et de prises de décisions multiples.
Pages
89 pages
Collection
n.c
Parution
2019-06-14
Marque
Springer
EAN papier
9783030225735
EAN PDF
9783030225742

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
3277 Ko
Prix
52,74 €
EAN EPUB
9783030225742

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
5417 Ko
Prix
52,74 €

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.

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