Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications eBook

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Fuzzy Collaborative Forecasting and Clustering
Methodology, System Architecture, and Applications
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.

This is a digital product.

Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications is written by Tin-Chih Toly Chen; Katsuhiro Honda and published by Springer. The Digital and eTextbook ISBNs for Fuzzy Collaborative Forecasting and Clustering are 9783030225742, 3030225747 and the print ISBNs are 9783030225735, 3030225739.