Expert models Sample Clauses

Expert models. Expert models are generally applied in cases when there is no large dataset available to develop empirical regression models or when existing knowledge on specific ecosystem processes or habitat requirements of species is limited. Fuzzy logic models Fuzzy logic models consist of a number of conditional “if-then” rules to describe relationships or processes that cannot be easily described by deterministic equations. For example: when environmental variables are difficult to quantify or classify due to high level of uncertainty as a result of high level of temporal or spatial variability (e.g. substrate type, wind exposure, light conditions) and therefore often not appropriate to use as conditional values for prediction of biological processes or population densities, fuzzy logic modelling is a valuable technique for this purpose. The fuzzy logic approach enables to process imprecise qualitative information by means of membership functions into quantitave information (real values). The membership functions are explaining the degree of truth of any fuzzy statement by values between 0 and 1 (Figure 11). Fuzzy logic models are also applied to lake ecosystems, especially to predict the occurrence of cyanobacteria blooms in lakes (Xxxx & Xxxxxx, 2003; Xxxxxxxx et al., 2003).
Sample 1
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