Fuzzy collaborative forecasting and clustering : methodology, system architecture, and applications /

Fuzzy collaborative forecasting and clustering : methodology, system architecture, and applications /

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Bibliographic Details
Author / Creator:	Chen, Tin-Chih Toly, author.
Imprint:	Cham, Switzerland : Springer, [2020]
Description:	1 online resource : illustrations.
Language:	English
Series:	SpringerBriefs in applied sciences and technology SpringerBriefs in applied sciences and technology.
Subject:	Fuzzy systems. Fuzzy sets. Cluster analysis. Fuzzy decision making. Cluster analysis. Fuzzy decision making. Fuzzy sets. Fuzzy systems.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12601491

Hidden Bibliographic Details
Other authors / contributors:	Honda, Katsuhiro, 1973- author.
ISBN:	9783030225742 3030225747 9783030225735
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed June 19, 2019).
Summary:	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.
Standard no.:	10.1007/978-3-030-22 10.1007/978-3-030-22574-2

Table of Contents:

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.