Decision Support Systems for Modeling Forecasting and Risk Estimation

The monograph concentrates on methodology of Decision Support Systems (DSS) development that is based on modern principles of system analysis. The possibilities for architecture and functional structure of DSS are considered in context of the systems development for solving the problems of mathematical modeling forecasting and financial risk estimation. The whole procedure of the system design is given that includes specific problem statement project development programming of separate modules and testing. Some special types of architecture are presented dependently on the restrictions imposed by data processing techniques and type of information necessary for decision making. A substantial attention is given to the statistical criteria used for analyzing quality of data models and forecasts.