Known methods of mathematical modeling of nonlinear dynamical systems are generalized and proposed. Simple examples explain the mechanisms of the emergence of dynamic chaos, self-organization, etc. A fundamentally new approach to modeling dynamical systems based on the theory of possibilities and fuzzy mathematics is proposed. It focuses on describing dynamics under uncertainty and is an alternative to stochastic modeling.