The FUGI global model has been developed as a media of providing global information to the human society and finding out possibilities of policy coordination among countries in order to achieve sustainable development of the world economy under the constraints of changing global environment. The FUGI model 7.0 M80 classifies the world into 80 countries and regional groupings where each national/regional model is globally interdependent through international trade, financial flows and information flows. The FUGI model also can play a role of global early warning system model for monitoring displaced persons derived from destruction in environment, failures in development, lack of peace and security as well as violation of human rights.

Recently, the use of neural networks in financial market is becoming to be one of the most exciting and promising application areas. In this paper, a user friendly decision support system for dealing stocks has been developed. The proposed system has been tested using the data of Tokyo Stock Market. The simulation results having been obtained suggest the usefulness of the proposed system.