Fuzzy Collaborative Forecasting and Clustering

丛 书 名：SpringerBriefs in Applied Sciences and Technology

版本说明：1

作     者：Tin-Chih Toly Chen Katsuhiro Honda 

I S B N：(纸本) 9783030225735 

出 版 社：Springer Cham 

出 版 年：1000年

页      数：IX, 89页

主 题 词：Computational Intelligence Data Mining and Knowledge Discovery Artificial Intelligence Data-driven Science, Modeling and Theory Building Operations Research/Decision Theory Simulation and Modeling 

摘      要：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.