Multi-agent decision support system incorporating fuzzy logic

Rapid advances in intelligent agents and agent-based systems have been attracting the attention of academicians and practitioners. Intelligent agents have attractive properties including autonomy, proactiveness, intelligence, social ability and other useful features. The field of DSS can benefit significantly by focusing on the above concerns through employment of agent-based technologies. This work proposes a framework for a single decision task DSS based on multi-agent architecture. The agents in the DSS employ fuzzy rules and fuzzy objectives when generating alternative decisions. The approach is demonstrated using the investment multi-agent DSS (MADSS) prototype. The experiments show that the fuzzy MADSS outperforms the traditional model plus data based DSS