Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
PageMenu
-
Hauptmenü
-
Suchmenü
Einfache Suche
.
Erweiterte Suche
.
Zeitschriften-Suche
.
Suchergebnisse verfeinern
.
Neuerwerbungsliste nach Gruppen
.
Sortierreihenfolge
.
Benutzerdienste
Nutzeranmeldung
.
Mein Konto
.
Erwerbungsvorschlag
.
Fernleihe
.
Vormerkung
.
Verlängerung
.
Weitere Recherchemöglichkeiten
Datenbankinfosystem (DBIS)
.
Karlsruher virtueller Katalog (KVK)
.
Regensburger Systematik (RVK)
.
Elektronische Zeitschriften (EZB)
.
Zeitschriftendatenbank (ZDB)
.
Sitzung beenden
Katalog verlassen
.
Homepage WHZ
.
Hochschulbibliothek
.
© LIBERO v6.4.1sp240211
Page content
Sie befinden sich hier
:
>
Zugangsberechtigung
Kategorienanzeige
Kategorienanzeige
MAB
Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications
Kategorie
Beschreibung
036a
XA-DE
037b
eng
087q
978-3-030-22573-5
100
Chen, Tin-Chih Toly ¬[VerfasserIn]¬
104a
Honda, Katsuhiro ¬[VerfasserIn]¬
331
Fuzzy Collaborative Forecasting and Clustering
335
Methodology, System Architecture, and Applications
403
1st ed. 2020
410
Cham
412
Springer
425
2020
425a
2020
433
1 Online-Ressource (IX, 89 p. 42 illus., 9 illus. in color)
451b
SpringerBriefs in Applied Sciences and Technology
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-22573-5
540a
ISBN 978-3-030-22574-2
700
|COM004000
700
|UYQ
700
|UYQ
700
|TEC009000
700b
|006.3
700c
|Q342
750
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
753
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
012
1668650088
081
Fuzzy Collaborative Forecasting and Clustering
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttps://doi.org/10.1007/978-3-030-22574-2
Schnellsuche
Suche nach