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Fuzzy collaborative forecasting and ...

Chen, Tin-Chih Toly.

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy collaborative forecasting and clusteringby Tin-Chih Toly Chen, Katsuhiro Honda.
Reminder of title:	methodology, system architecture, and applications /
Author:	Chen, Tin-Chih Toly.
other author:	Honda, Katsuhiro.
Published:	Cham :Springer International Publishing :2020.
Description:	ix, 89 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy systems.
Online resource:	https://doi.org/10.1007/978-3-030-22574-2
ISBN:	9783030225742$q(electronic bk.)

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /
Chen, Tin-Chih Toly.

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /[electronic resource] :by Tin-Chih Toly Chen, Katsuhiro Honda. - Cham :Springer International Publishing :2020. - ix, 89 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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.

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.

ISBN: 9783030225742$q(electronic bk.)

Standard No.: 10.1007/978-3-030-22574-2doiSubjects--Topical Terms:

182084
Fuzzy systems.

LC Class. No.: QA248.5

Dewey Class. No.: 511.3223

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /
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245 1 0 $a Fuzzy collaborative forecasting and clustering $h [electronic resource] : $b methodology, system architecture, and applications / $c by Tin-Chih Toly Chen, Katsuhiro Honda.
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520 $a 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.
650 0 $a Fuzzy systems. $3 182084
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650 0 $a Cluster analysis. $3 182711
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650 2 4 $a Operations Research/Decision Theory. $3 273963
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Honda, Katsuhiro. $3 277673
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