Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications
โ Scribed by Tin-Chih Toly Chen, Katsuhiro Honda
- Publisher
- Springer International Publishing
- Year
- 2020
- Tongue
- English
- Leaves
- 99
- Series
- SpringerBriefs in Applied Sciences and Technology
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
โฆ Table of Contents
Front Matter ....Pages i-ix
Introduction to Fuzzy Collaborative Forecasting Systems (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 1-8
Linear Fuzzy Collaborative Forecasting Methods (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 9-26
Nonlinear Fuzzy Collaborative Forecasting Methods (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 27-44
Fuzzy Clustering and Fuzzy Co-clustering (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 45-58
Collaborative Framework for Fuzzy Co-clustering (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 59-72
Three-Mode Fuzzy Co-clustering and Collaborative Framework (Tin-Chih Toly Chen, Katsuhiro Honda)....Pages 73-88
Back Matter ....Pages 89-89
โฆ Subjects
Engineering; Computational Intelligence; Data Mining and Knowledge Discovery; Data-driven Science, Modeling and Theory Building; Operations Research/Decision Theory
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