Probabilistic theory of multi-models
Miroslav Svítek · International Conference on Systems · 2005
The paper presents the mathematical theory of probabilistic multi-models composition set together by predefined probabilistic model components selected by designer. Each probabilistic component is composedd of phase parameter that characterizes the composition rules of multi-models assemble and the mixture parameter that characterizes component significance to capture the features of studied system. The presented approach results in introduction of complex probabilities being represented in spectral area with similar attributes like e.g. Fourier series. Presented theory is exemplified on numerical example to demonstrate its practical use.