Advanced Modelling of Complex Processes by Fuzzy Networks

This work presents an application of the novel theory of rule based networks for building models of processes characterised by uncertainty, non-linearity, modular structure and internal interactions. The application of the theory is demonstrated for a flotation process in the context of converting a multiple rule based system into an equivalent single rule based system by linguistic composition of the individual rule bases. During the conversion process, the transparency of the multiple rule based system is fully preserved while its accuracy is improved to a level comparable with the accuracy of the single rule based system. Key-Words: Hierarchical model, network model, data simulation, fuzzy logic, fuzzy systems, process model, input/output models, systems evaluation, knowledge base.