Data Fusion Systems: Principles and Architecture for Data Processing in Decision Making System Learning

The paper discusses the design and implementation issues of data fusion decision making systems and proposes the basic principles and architecture for distributed data processing aiming at decision making system learning on the basis of knowledge discovery from data.