Abstract
In the present study we continue previous work by recasting the portfolio management problem into a control theoretic form, still retaining a recursive programming structure through time. The uncertainty of future prices and risk levels is recognized by fuzzy numbers. Our system has interesting directions for future research: improving performance through expert systems support for forecasting, using the experience from the model in efforts to theory design, solving the fuzzy control model (FCM) when the state objectives, return predictions and the level of economic friction are fuzzy.
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