Incorporating uncertainty in financial models

Financial problems are often based on a rigorous mathematical structure and are strongly dependent on the imprecision of the input data. In this paper we show how it is possible to model the uncertainty by assuming that the fundamental parameters are fuzzy numbers. The massive computation effort involved in computations, can be successfully handled due to a flexible and precise parametric representation of the lower and upper branches of the membership functions of the fuzzy numbers.