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Abstract

The application of fuzzy numbers is suggested as an alternative to probabilistic methods for the management of uncertainty and vagueness in system dynamics models. Fuzzy numbers are particularly well suited for representing qualitative values and are used during simulation. To handle interaction among variables, we utilize global optimization methods. In nonlinear models, however, our implementation does not suffice. We illustrate the use of fuzzy numbers, qualitative values, and the problems of implementation by some simple examples.