Fuzzy Collaborative Forecasting and Clustering
Tin-Chih Toly Chen, Katsuhiro Honda
Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
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.
Kundenbewertungen
Big Data Analysis, Forecasting, Clustering, Multiple Expert Decision Making, Fuzzy Collaborative System, Applied Soft Computing, Fuzzy Collaborative Intelligence, data-driven science, modeling and theory building, Collaborative Computing Intelligence, Collaborative Fuzzy Modelling, Disparate Data Sources