Soft Computing in Electronic Business

In an era of electronic commerce businesses and consumers have access to vast amounts of potentially important information. While this is beneficial for making informed decisions, the decision makers could easily become overwhelmed by the information, much of which may not be relevant. Thus, there is a pressing need for decision aiding tools that would effectively process, filter, and deliver the right information to the organizational and individual decision makers. In this work we argue that combination of DSS and agent technologies could prove a very powerful tool for rendering decision support in e-commerce application. We propose an architecture for a multi-agent DSS for e-commerce, and describe a prototype system for making on-line investment decisions.