Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications (1st ed. 2020) (SpringerBriefs in Applied Sciences and Technology)

By: Tin-Chih Toly Chen and Katsuhiro Honda

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030225742
Related ISBNs:: 9783030225735
Publisher:: Springer International Publishing
Date of Addition:: 08/15/19
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Business and Finance
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.