The world, we are living in, is full of uncertainties, which we can see for an instance in weather forecasts. Such forecasts are made with the help of simulations. Simulations do not only sometimes produce uncertain outputs, but may also require the input of uncertain data. Since there are more and more simulation tools which are supposed to be used by non-scientists, suitable input methods for uncertain data, which can be used by both, experts and lay persons, are required. This master thesis deals with the development and evaluation of such input methods. We present a selection of developed input methods and discuss a preselection and the enhancements of the most promising prototypes. These input methods were tested and evaluated in an online survey first and in a second step we conducted a user study to receive more detailed results. These results are discussed and a conclusion and outlook gives insights on how these input methods can be further improved or altered and in which situations they can be applied. A web-based simulation tool, that includes the developed input methods, has been created in the context of this thesis and is also briefly described.