Assessment of uncertainties in expert knowledge, illustrated in fuzzy rule-based models

摘要: The coherence between different aspects in the environmental system leads to a demand for comprehensive models of this explore effects management alternatives. Fuzzy logic has been suggested as means extend application domain modelling from physical relations expert knowledge. In such applications describes terms fuzzy variables and inference rules. result reasoning process is numerical output value. model, any other, model context, structure, technical aspects, parameters inputs may contribute uncertainties output. Analysis these contributions simplified agriculture suitability shows how important information about accuracy knowledge relation other can be provided. A method extensive assessment compositional rule-based proposed, combining evaluation input parameter uncertainties. an example each three appear have potential dominate aggregated uncertainty, supporting relevance ample uncertainty approach.