Abstract
The study elaborates on the use of the technology of fuzzy sets as a formal framework of granular modelling and simulation. The key facets of this approach to system modelling are outlined and discussed in detail. A global architecture of fuzzy models is also provided and examined in terms of its underlying conceptual modules including input and output interfaces. Several classes of fuzzy models are analysed. Various validation and verification issues are studied as well.