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Genetic fuzzy systems have a potential to be applied to ecological studies as a tool for species distribution modelling and habitat evaluation. However, no study has focused on how different model formulations affect habitat preference evaluation and performance of the model. The present study therefore aims to assess the effect of model formulations on habitat preference evaluation through the optimization...
At first sight, it seems that ordered linguistic values for all input variables and the output variable and a set of rules describing a monotone system are all that is needed for a monotone model. However, this is not the case. In this study, we show that the choice of the mathematical operators used when calculating the model output and the properties of the membership functions in the output domain...
In the Mamdani-Assilian models considered in this study, the linguistic values of the two input variables and the output variable are described by trapezial membership functions forming a fuzzy partition, the rule base is monotone and the t-norm TM, TP or TL is applied, combined with either the mean of maxima (MOM) or center of gravity (COG) defuzzification method. For these models, monotonicity cannot...
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