Fuzzy Collaborative Forecasting and Clustering : Methodology, System Architecture, and Applications (Springerbriefs in Applied Sciences and Technology) （2020）

Chen, Tin-Chih Toly/ Honda, Katsuhiro

Springer Nature Switzerland AG（2019/06発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 89 p.
• 言語 ENG
• 商品コード 9783030225735
• DDC分類 003.3

Full Description

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.

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.