This paper presents the methods of processing interactive data describing different forms of uncertainty. Data can be expressed in the form of interactive possibility distribution or the part of data can be expressed in the form of interactive possibility distribution and the part in the form of probability distribution. The procedure of processing combines stochastic simulation with nonlinear programming or simulation of fuzzy systems. The interaction between data are modeled by the correlation matrices and the interval regression. Presented practical example indicates that an interaction between data have a significant impact on results of calculations. Data processing without consideration of these interrelations would bear a considerable, systematic error.
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