A modular distributed decision support system with data mining capabilities

Abstract

Although Decision Support Systems (DSSs) to help control strategies have been developed and improved for about two decades, their technology is still limited to end-to-end solutions. This paper proposes a framework for developing a Modular Distributed Decision Support System (MDDSS), capable of handling global knowledge expressed in various forms and accessible by different users with different needs. The interaction of human experts in different parts of the world and intelligent distributed modules will allow the system to deal with increased volume of knowledge (impossible with existing systems) and also to be easily upgradable to future technologies. © 2009 Springer Berlin Heidelberg.